sha256 stringlengths 64 64 | language stringclasses 27
values | size int32 1 491k | lines int32 1 21.8k | content stringlengths 1 200k |
|---|---|---|---|---|
faae3b11272d38b80c92ccb302f23d49be4a6a790af2164c633d1f372646265d | MATLAB | 1,246 | 57 | % outputs the dx, dy offsets between frames by registering frame N to frame
% N-1. If the movement is larger than half the frame size, outputs NaN.
% ops.yrange, xrange are ranges to use for rectangular section of movie
function [DS,corrv] = processRunning(h, frames)
[ly, lx, nt] = size(frames);
lCorrX = ceil(lx/4);
... |
04bded4d029cbdd8c48196c1d1fef951ebb142e395eea8986533dde478513989 | MATLAB | 1,248 | 45 | function T = LoadNeuralTimes(self, records_to_get, key)
% MClust_LoadNeuralWaveforms
% returns a TS of times
%
% calls appropriately constructed loading engines
%
% fn = file name string
% records_to_get = an array that is either a range of values
% key = 1: timestamp list.(a vector of timestamps to load
% ... |
908af31a4751afc56b7d0f851041e182fb9e9d82e7a2d13d348abca18f1d172a | MATLAB | 1,248 | 34 | function IN = nk_PerfANOVAObj(Y, IN)
global VERBOSE
[~,n] = size(Y);
IN.p = zeros(n,1);
IN.F = zeros(n,1);
IN.R2 = zeros(n,1);
if VERBOSE, fprintf('\t running ANOVA on %g variables ',n); end
for i=1:n
if VERBOSE;fprintf('.'); end
IN.beta = pinv(IN.X)*Y(:,i);
% here we use a pseudoinverse:
% X is ... |
e3e41e8ebff6435915256b8776d116e726b6c15410cd94dafd5dfc36f25c53bb | MATLAB | 1,249 | 46 | function [K,runtime] = connectedkernel(Graphs, k)
% Compute connected k-node graphlet kernel for a set of graphs
% Author: Nino Shervashidze - nino.shervashidze@tuebingen.mpg.de
% Copyright 2012 Nino Shervashidze
% Input: Graphs - a 1xn array of graphs
% k - the size of considered graphlets - 3, 4, or 5
% Output... |
2e5d51f19f07674b5a9cfa37678e4c219a622c9fed71a3277a92b72156f8c1fe | MATLAB | 1,251 | 46 | function varargout = permission(varargin)
% file_array's permission property
% For getting the value
% dat = permission(obj)
%
% For setting the value
% obj = permission(obj,dat)
%__________________________________________________________________________
% Copyright (C) 2005-2017 Wellcome Trust Centre for Neuroimaging
... |
17307d78a2bc55542b4269fd0a3a1ea9609b1ca0b540334cb53558d818c331a8 | MATLAB | 1,259 | 48 | function [optk, t] = nk_EstimKforMI(Y,Labels,kstart,kend,K)
optk = [];
[kX, ix] = size(Y);
kvec = kstart:kend;
kvecX = length(kvec);
t = zeros(ix,length(kvec));
mi = zeros(K,1);
miperm = zeros(K,1);
% Generate K-fold subsamples of original data ordering
cv = nk_CVpartition(1,K,Labels);
TrainInd = zeros(length(cv.Trai... |
31316b1982b84f40f9f222e4502180a1eb131540fa90fb3db71575313280a200 | MATLAB | 1,259 | 31 | function result=qn(x)
%QN is a scale estimator which does not require an auxiliary location estimate.
% Essentially it is the first quartile of all pairwise distances between
% two data points. Its definition is given by
% qn(x)= c_n 2.2219{|x_i - x_j|; i<j}_(k)
% with c_n a small sample correction factor to mak... |
43a484b5fbc7c19bbe25586e6a36e218c163565dd3c0aad087f0e411439459b9 | MATLAB | 1,260 | 41 | function [count] = countall3graphlets(L)
% Count all 3-node subgraphs in an undirected graph
% without node labels and with unweighted edges
% Author: Nino Shervashidze - nino.shervashidze@tuebingen.mpg.de
% Copyright 2012 Nino Shervashidze
% Input: L - 1xn cell array - adjacency list
% Output: count - 1x4 vector of i... |
8974d01fe06cfe4597ab672cf53ce1ce177403fd0c50cad74b52b34d8991c38a | MATLAB | 1,260 | 61 | function [ W, info ] = MTFLC_CVX( X, y, lambda1, lambda2, opts ) %#ok
%MTFLC_CVX Summary of this function goes here
% Detailed explanation goes here
if(nargin<5), opts = []; end
opts = setOptsDefault( opts, 'verbose', 1);
verbose = opts.verbose;
info.algName = 'Primal CVX';
m = length(X); %#ok
d = size(X{1},... |
8b1ccfe69d91f6cc056418a9ed0a547493ead259799af47b208fbb5e4926b73e | MATLAB | 1,260 | 47 | function writeGeneList(geneList,fileName,writeDir)
% write the gene list into a .txt file
% geneList: column vector of string.
% fileName: string
% writeDir: string
% Copyright (C) <2012> <Yifeng Li>
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Publi... |
e5b5af6993950fa8087c06286dce1df61a3b5c6e7e5f0c6a0ab2ad2e2d00528c | MATLAB | 1,260 | 33 | function [img3d] = resize_img_useTemp_imcalc(file,temp,opt_save)
% function [img3d] = resize_img_useTemp_imcalc(file,temp,opt_save)
%-----------------------------------------------------------------------
% Job saved on 15-Jul-2015 09:33:17 by cfg_util (rev $Rev: 6134 $)
% spm SPM - SPM12 (6225)
% cfg_basicio BasicIO -... |
46c8ce352fd1c5fb13dccba7cdb618988af521f6ef2fbc818dfb9526506c4579 | MATLAB | 1,261 | 40 | function o = cat(dr,varargin)
% Concatenate file_array objects. The result is a non-simple object
% that can no longer be reshaped.
%__________________________________________________________________________
% Copyright (C) 2005-2017 Wellcome Trust Centre for Neuroimaging
%
% $Id: cat.m 7147 2017-08-03 14:07:01Z spm ... |
ba7b7e1ba0e3abf477b1753a970513bd7ee6271a1e9d44733bbe3de48fa62622 | MATLAB | 1,263 | 45 | function WV = LoadNeuralWaveforms(self, records_to_get, key)
% MClust_LoadNeuralWaveforms
% returns a TSD
%
% calls appropriately constructed loading engines
%
% fn = file name string
% records_to_get = an array that is either a range of values
% key = 1: timestamp list.(a vector of timestamps to load
% ... |
38e3e8b8f4144a61497d18dad4811e69672c5039f6f194e80852a13211d5c044 | MATLAB | 1,264 | 38 | function P = nk_TestPerfCompConnectivity( Y, L )
[m,n] = size(Y);
params.seedparams.threshprc = 95;
P=zeros(m,1);
% Perform LOO
for i = 1:m
trainind = 1:m; trainind(i)=[];
testind = i;
fprintf('\nWorking on subject %g',i);
%[Ytrain, meanY, stdY, meanY2] = nk_PerfStandardize2(Y(trainind,:),[],... |
c1ad69a99b57c58109a3bda188e076da95042059be8110aebeea2511f0e58a24 | MATLAB | 1,268 | 38 | function exportCurrentFigAsPDF(filespec,userOptions)
% exports the current figures to the file [filespec,'.pdf'] in pdf
% format.
% filespec is the full path (including the file name) of the file to be
% saved.
% userOptions can be used to modify the dots per inch (dpi) or the
% tightness of the figure in the pr... |
ca7ca34de57bbdeb085cd5e5540232fc83106d50f10f80e0b557e8c8acf04270 | MATLAB | 1,270 | 52 | function [] = PL2Print(cellArrayOfStructures)
% PL2Print(cellArrayOfStructures): prints cell array of structures
%
% PL2Print(cellArrayOfStructures)
%
% INPUT:
% cellArrayOfStructures - cell array of identical structures
%
% OUTPUT:
% prints specified cell array
if nargin ~= 1
error 'expected 1 input argument'... |
430dd8a67510908ea29f3ab0dd8917a2ab866b2d65a3aedc16db31c63c86bc9e | MATLAB | 1,271 | 52 | function X = mask(tsa, t0, t1, masking)
%
% mTSD = ctsd/Mask(tsd, t0, t1, masking)
%
% INPUTS:
% X = tsd object
% t0 = sets of start times
% t1 = sets of end times
% masking = 1=NaN times inside trial pairs, 0=NaN times outside trial
% pairs (default = 1)
% NOTE: must be SAME units as tsd!
%
% O... |
9c484908769b5791cfc71d4824210fe4793945fe9e7addc3e8354547c044d0f7 | MATLAB | 1,272 | 45 | function demo_face_online()
% Demonstation file for online NMF for face images
%
% Created by H.Kasai on Apr. 18, 2018
clc;
clear;
close all;
%% set parameters
max_epoch = 1000;
batch_size = 100;
N = 1000;
K = 49;
%% load data
V = importdata('..... |
abc1156ba54f2ceb623693130625f9f2244ecccba1a8f50375c351ae62bdcbe5 | MATLAB | 1,272 | 35 | function GridAct = nk_GenGridAct_script(cv, x1, x2, y1, y2, xx1, xx2, yy1, yy2)
% %%%%%% DEFINE CV ACTION GRID %%%%%%%%
if nargin < 8
% Outer CV mode
[ix, jx] = size(cv.TrainInd);
ixP = x2-(x1-1); jxP = y2-(y1-1);
numCV2parts = ixP * jxP;
numCV2partsCPU = ceil(numCV2parts / numCPU);
GridActP... |
d86db3d26aba76e21865eac91afdfedc79392d38ffd7ffdb0aa28ab12195367c | MATLAB | 1,273 | 41 | function [CURACT, act] = nk_GroupNorm_config(NM, varind, CURACT, parentstr, defaultsfl)
if ~exist('defaultsfl','var') || isempty(defaultsfl); defaultsfl = false; end
IND = []; ZeroOut = 1;
if ~defaultsfl
if isfield(CURACT,'IND') && ~isempty(CURACT.IND), IND = CURACT.IND; end
if isfield(CURACT,'zerooutflag... |
8117713024e224d8417129b92f7dd0537715e67201d2c7a93e0ba2d5064a51d5 | MATLAB | 1,276 | 35 | %erpval = zeros(20,3*2); % 3 familiarity, 2 mask
load('N250_both.mat')
[n,c2] = size(erpval);
varNames = cell(3*2,1);
for i = 1 : 3*2
v = strcat('V',num2str(i));
varNames{i,1} = v;
end
% Create a table storing the respones
tbiases = array2table(erpval, 'VariableNames',varNames);
% Create a table reflect... |
83da662eddefb8afe6363b5a36e572c72cfab6490a29b15e3ca540a3ba2e32cb | MATLAB | 1,277 | 52 | function [res] = build_and_verify_mexPlex()
% this script will build and verify mexPlex
%
% OUTPUT:
% returns 1 if all verification tests passed
% returns 0 if some of the verification tests failed
%
% if ReadingPLXandDDTfilesinMatlab-mexw.zip was inzipped to
%
% C:\PlexonMatlab
%
% this script should be run when ... |
a944722bd979bda8191942f8b1cfcc9caf6fc3bb59fd64ba00fa068824d6ad65 | MATLAB | 1,280 | 41 | function D = nk_FScoreFeatRank(Y, L, N)
% Y : Data
% L : Target Labels
% N : Nuisance Labels (optional)
ix = unique(L);
if numel(ix) == 2
indP = L==ix(1); indM = L==ix(2);
YP = Y(indP,:); YM = Y(indM,:);
% Mean of Positive / Negative Labels
mP = nm_nanmean(YP); mM =... |
d8fd60cc85abf544d84c075f00e46a1aaa3447a0d93a3abbb38bb7907b63e0de | MATLAB | 1,280 | 53 | function [AC,xrange] = CrossCorr(T1, T2, varargin)
% MClust.CrossCorr(T1, T2)
%
%
% INPUTS
% T1 -- times of data (in seconds)
% T2 -- times of data (in seconds)
%
% OUTPUTS
% AC --- tsd of autocorrelation of self
%
% ADR 2012
%
% Status: PROMOTED (Release version)
% See documentation for copyright (owned by o... |
f631d1074929fd23bc18480b38cd7de66fff43ad7378290e7397e884e99a90be | MATLAB | 1,281 | 31 | % Matlab Toolbox for Dimensionality Reduction
% Version 0.8 18-APR-2012
%
%
%Main functions
%----------------------
% compute_mapping Performs dimension reduction using the specified technique
% out_of_sample Performs out-of-sample extension using trained DR technique
% out_of_sample_est Performs out-of-sample... |
50e2a2960a214eb565e4540341ec721414948dc49f7eca851b184081fb7db59c | MATLAB | 1,282 | 28 | function NM = nk_AdjBrainMask(NM)
i = nk_input('Define modality index',0,'i');
if i>numel(NM.Y), error('Index exceeds no. of data modalities'); end
[file_brainmask,path_brainmask] = uigetfile({'*.nii';'*.img';'*.*'},...
'Brainmask Image Selector');
[~,n,e] = fileparts(NM.datadescriptor{i}.inp... |
6844ceaf63d585090a575885eb50e2ed298cc5e341950dd4b870f921810ed474 | MATLAB | 1,284 | 46 | function [c,b,c1] = cvx_foopsi(y,b,c1,sn,b_lb,g,w,keep)
% implementation of constrained foopsi in CVX
% Written by Eftychios Pnevmatikakis
if isempty(b)
bas_est = 1;
else
bas_est = 0;
end
if isempty(c1)
c1_est = 1;
else
c1_est = 0;
end
gd = max(roots([1,-g(:... |
a3bfb29cf41125dbe706c974056526bcfe38904f040f3f6b446e8c7b3b6e49df | MATLAB | 1,287 | 36 | % two-way anova with hemisphere as a factor: Sept 14 2022
load('N250_both.mat')
[n,c2] = size(erpval);
varNames = cell(3*2,1);
for i = 1 : 3*2
v = strcat('V',num2str(i));
varNames{i,1} = v;
end
% Create a table storing the respones
tbiases = array2table(erpval, 'VariableNames',varNames);
% Create a ta... |
d264b6e50802f48cb1f6e3b9b4ebf08fde50694f4ee323591878771309b2e77e | MATLAB | 1,290 | 36 | function IO = DefineLabels(IO, modeflag)
switch modeflag
case 'classification'
if isfield(IO,'L') && ~isempty(IO)
IO.label = zeros(size(IO.L));
IO.n_label = size(IO.L,2);
uL = unique(IO.L,'stable');
nLall = numel(uL);
for j=1:IO.n_label
... |
a2b1358b7099c7eadfa29b89c60e46dfb95fdfba61a00c684a47529a6a118c8d | MATLAB | 1,291 | 43 | function nk_ModelExport_config(dat, analind)
global SAV MODEFL CV OOCV FUSION MULTILABEL
if isempty(analind), return, end;
% Initialize analysis with current training parameters
complvec = [];
for z=1:numel(dat.analysis)
if dat.analysis{z}.status, complvec = [ complvec z ]; end;
end
analysis = dat.analysis{complv... |
6c7760679a5d698ea6f9468d10295151c474f8e2be6a65da21b1baf46591c00f | MATLAB | 1,293 | 39 | function calculate_trialnrs
% CALCULATED_TRIALNRS Trial nr.s for each patient
allpats = {'pd01','pd02','pd03','pd04','pd05','pd07','pd08','pd10','pd12','pd13','pd14','pd15','pd16'};
gotbl = nan(length(allpats),3);
stoptbl = nan(length(allpats),3);
for rT = 1:3
switch rT
case 1;
recty... |
11c6aac9fec3b01d8002750f3e149b7ed3dbd2c3b79cac8f390618c7ce56a1d4 | MATLAB | 1,294 | 39 | <<<<<<< HEAD
function s = struct(this)
% Struct method for GIfTI objects
% FORMAT s = struct(this)
% this - GIfTI object
% s - a structure containing public fields of the object
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neur... |
6c4da1f9463057dcba2f00e2e167400bbf6c855a16a5c2266f392c32ae15d0ac | MATLAB | 1,298 | 37 | % 20180313 CRM
%% load nii data, using one of three options
% (1) Matlab 2017b+ has this built-in as 'niftiread'
% V = niftiread('example_Sbunny.nii.gz');
% (2) FreeSurfer has a function 'load_nifti'
% nii = load_nifti('example_Sbunny.nii.gz');
% V = nii.vol;
% (3) Use the NIfTI toolbox and use 'load_n... |
5078b075472feac3b52b4246d77ddd122d78d621fb329e18237ac5e790d1ee7e | MATLAB | 1,299 | 39 | function [sY, IN] = cv_graph_PerfGraphConstruction(Y, IN)
% =========================================================================
% =========================== WRAPPER FUNCTION ============================
if ~exist('IN','var'), IN = []; end
if iscell(Y)
sY = cell(1,numel(Y));
for i=1:nu... |
2b83c45b5cd3386022984f9e56ed7b778b523dd7dd231497e11d3c65a32c1949 | MATLAB | 1,301 | 64 | function [Vo, Ro, No, V] = generate_syntheticdata(F, N, K, noise_level, rho)
%
% % Vo
% W = randn(F,K);
% W = max(W, 0);
% W = min(W, 1);
%
% H = randn(K,N);
% H = max(H, 0);
% H = min(H, 1);
%
% Vo = W * H;
%
% % noise
No = noise_level*randn(F,N);
%
% ... |
e17207a913cf9a27ad00b19ed94d0da7d8fdfa7309c8a5c1c5846af3f7b0aa38 | MATLAB | 1,301 | 45 | function [evinx TEevinx] = find_evinx(EEG_ep, evty,evlevel)
% FIND_EVINX Gets epoch index corresponding to EVTY event and EVLEVEL level
% of subevents in EEG_EP data (eeglab struct).
%
%
% Johanna Petra Szabó, 10.2025
% Clinic for Neurosurgery and Neurointervention
% Semmelweis University, Budapest, Hungary
% ... |
2a09d82e9e86789db287a7e735361828c67adfd795efe6539fcbb2d5cb82392c | MATLAB | 1,303 | 40 | clear; clc;
% Load the dataset
load('combinedData.mat'); % Make sure this file contains the 'Year' and 'Type' columns
% Group the data by Year and Type to count research items
groupedData = groupsummary(combinedData, {'Year', 'Type'}, 'IncludeEmptyGroups', true);
% Create a list of all unique types
types =... |
1207db9b7bc8d84f4165bc6ad6df918cc6a1b6b01f83fd91df615508b9fb65be | MATLAB | 1,311 | 40 | % FastICA for Matlab 7.x and 6.x
% Version 2.5, October 19 2005
% Copyright (c) Hugo Gävert, Jarmo Hurri, Jaakko Särelä, and Aapo Hyvärinen.
%
% Type fasticag to launch the graphical user interface
%
% Please refer to your Matlab documentation on how to add FastICA to your
% Matlab search path. (One place to start is t... |
7b66bc82926b4eb28572ed9698f27eb8175c5c1f2aae313a1f79e1728937fafc | MATLAB | 1,312 | 53 | function [errReturn] = mbm_check_input_app(MBM)
% Check if required inputs are provided for the app. If not, display error
% message.
%
%% Inputs:
% MBM - structure
%
% fig - figure where error message is displayed.
% Trang Cao, Neural Systems and Behaviour Lab, Monash University, 2024.
errReturn = false;
... |
68e34d0c2b2769e7b7c1fa203d7e7b3b773440621b3758a073fa4d9c58b9a668 | MATLAB | 1,314 | 53 | % mdodified t-statistic with median absolute deviation as an estimate of SD
% permutation testing to get distribution
load 'N250_both.mat'
y = erpvalues(:,[2 5]); % cols to be tested
X1 = y(:,1);
X2 = y(:,2);
[n1,~] = size(X1);
[n2,~] = size(X2);
mu1 = mean(X1);
mu2 = mean(X2);
mad1 = mad(X1);
mad2 = mad... |
e5781df2b985e1c24c1fe85930e9ea5726532af05cfd5adb6626832b9871d952 | MATLAB | 1,314 | 59 | classdef Feature
% Feature -
%
% this version keeps the feature on disk and only loads as necessary
properties(Access=public)
normalizedYN = false;
fdFile = '';
fdColumn = nan;
name = '';
inMemory = false;
FD;
end
methods
% call as Feature(name, FD) or as Feature(name, fdFile, fdColumn... |
6b180572f8c934469699ad3c135a0eb753151392895d43a0b7a5e4f0c9552d56 | MATLAB | 1,315 | 35 | function GridAct = nk_GenGridAct_batch(cv, curCPU, numCPU, x1, x2, y1, y2, xx1, xx2, yy1, yy2)
% %%%%%% DEFINE CV ACTION GRID ACCORDING TO "numCPU" and "curCPU" %%%%%%%%
if nargin < 8
% Outer CV mode
[ix, jx] = size(cv.TrainInd);
ixP = x2-(x1-1); jxP = y2-(y1-1);
numCV2parts = ixP * jxP;
numCV2pa... |
de5608ca4079d80093754780b81c44c6420e239a9bdc432a745c760cd0c9e18f | MATLAB | 1,315 | 37 | function [sortedDist,index] = getBestScores(dist,k)
% get the nearest K values from a distance vector
% dist; column vector
% k: scalar
% sortedDist: column vector, the k best distances
% index: the numeric index of these k best distances
%%%%
% Copyright (C) <2012> <Yifeng Li>
%
% This program is free software: you ... |
3ee381338a39b465a19a5c740fca6022094d9f9ce616b6ef03c91d70040748f8 | MATLAB | 1,316 | 39 | classdef CompactEditableComboBoxEventData < event.EventData
%CompactEditableComboBoxEventData Event data for CompactEditableComboBox.
properties
Value char = ''
Items cell = {}
SelectedIndex double = 0
Action char = ''
Data = struct()
end
methods
functio... |
5fa75b8de53cce03e2480ee3575aa268926fdf36240f0bcef12998e4cc25072c | MATLAB | 1,316 | 56 | function putlabel(x,y,names,z,znames)
%PUTLABEL plots user-specified labels to the observations in a two- or
% a three-dimensional figure.
% If no labels are given, the indices are plotted.
%
% Required input arguments:
% x : x-coordinates of the data
% y : y-coordinates of the data
%
% Optional input argume... |
80492ff469dafead7581894a50cc776ef4b3c0cf4427c991e35d1405c2fdcc80 | MATLAB | 1,316 | 52 | function ghat = isotonic_regression(y,w)
% ghat = IsoMeans(y)
% fits a vector ghat with nondecreasing components to the
% data vector y such that sum((y - ghat).^2) is minimal.
% (Pool-adjacent-violators algorithm).
% In case of a second input vector w with positive entries
% (and the same size as y),
% ghat = IsoMe... |
90cdf27143c2f3c6d64c85332e266ffbd585b6c0204753fe693995c19a702e7d | MATLAB | 1,317 | 36 | function inv = stdnormal_inv (x)
% STDNORMAL_INV Quantile function of the standard normal distribution
% INV = stdnormal_inv(X)
% For each component of X, compute the quantile (the inverse of the
% CDF) at X of the standard normal distribution.
% Adapted for Matlab (R) from GNU Octave 3.0.1
% Original file: statis... |
5755425c727fa0305380a916cf5b275b6c9dfd931897b1f3ed1c53c5ad5f36d9 | MATLAB | 1,321 | 35 | function GridAct = nk_GenGridAct_batch(cv, curCPU, numCPU, x1, x2, y1, y2, xx1, xx2, yy1, yy2)
% %%%%%% DEFINE CV ACTION GRID ACCORDING TO "numCPU" and "curCPU" %%%%%%%%
if nargin < 8
% Outer CV mode
[ix, jx] = size(cv.TrainInd);
ixP = x2-(x1-1); jxP = y2-(y1-1);
numCV2parts = ixP * jxP;
numCV2pa... |
fc7c0034198c6e768e42d4ab0ce8f0cb5888fce5bfdec5190dcf75f25ec2de2b | MATLAB | 1,322 | 51 | function W = pnmfkl_sparse(X, r, max_iter, tol)
%
% compute PNMF based on I-divergence (non-nomarlized KL-divergence)
% input:
% X nonnegative data input (m times n, sparse)
% r number of PNMF components
% max_iter maximum number of iterations (defaut 5000)
% tol convergence tolerance... |
13a94d86ff7cfcedac0a43cf4b90db0ca8a42bdc33f08c7346e8d1c399a71a70 | MATLAB | 1,323 | 57 | function [ w_sol, infos_sol, costs ] = nk_NMFbase( V, rank, algo, options)
[F, N] = size(V);
Vo = V;
dim = N * F;
%% set initial data
x_init.W = rand(F, rank);
x_init.H = rand(rank, N);
x_init.R = rand(F, N);
%% set options
if ~exist('options', 'var') || isempty(options)
max_epoch = 100;
options.max_epoch = m... |
4c6919d7f50d6868627184e2318c8951d28826a7d2a894f4341dc4a2734a7274 | MATLAB | 1,323 | 32 | function [ nexFile ] = nexAddInterval( nexFile, intervalStarts, intervalEnds, name )
% [nexFile] = nexAddInterval( nexFile, intervalStarts, intervalEnds, name )
% -- adds an interval variable (series of intervals) to nexFile data structure
%
% INPUT:
% nexFile - nex file data structure created in nexCre... |
ee0e1bda570cf4e5fca5073c94958373a54134fd330ea6b6a78659dea31fbadd | MATLAB | 1,324 | 48 | function Hinv=pseudoinverse(H,lambda)
% compute pseudoinverse of matrix H
% Usage:
% Hinv=pseudoinverse(H);
% Hinv=pseudoinverse(H,lambda);
% H: matrix
% lambda: scalar, the parameter to reach stable result and avoid
% singularity, its value should be very large, i.e. 2^32.
% Hinv, the pseudoinverse of H
%%%%
% Copyrig... |
a9685c3dae1ab4edb970d96a37a24f93fb878ade0147deec72cfe7644e102b0d | MATLAB | 1,325 | 56 | function [cmb association] = IAMB( data, targetindex, THRESHOLD)
%function [cmb association] = IAMB( data, targetindex, THRESHOLD)
%
%Performs the IAMB algorithm of Tsmardinos et al. (2003)
%from "Towards principled feature selection: Relevancy, filters and wrappers"
if (nargin == 2)
THRESHOLD = 0.02;
end
numf = si... |
488cc6e23f9a664baf280cb85a6851e53837f6c72678f63151910ee299ffba2d | MATLAB | 1,328 | 41 | function Y = gplvm(X, no_dims, sigma)
%GPLVM Gaussian Process Latent Variable Model
%
% Y = gplvm(X, no_dims, sigma)
%
% Simple implementation of the Gaussian Process Latent Variable Model using
% a Gaussian kernel with bandwidth alpha. The function reduces the
% dimenisonality of the dataset X to no_dims dimensions... |
6ed74e03b0959f1b631832d3f1a88cbd985b2832fba3ca45fa1ae75cf993044c | MATLAB | 1,329 | 51 | classdef (Sealed) MClust0 < handle
% Internal class for MClust
%
% There can only be one element of this class
properties
Settings = [];
Data = [];
MainWindow = [];
end
methods
function self = MClust0()
end
function de... |
15824f48122e2d7fa14be91b9988df6ab31f812cb66a1db1ab67046f50eecf77 | MATLAB | 1,330 | 45 | function [dims, indvol, Y, vox] = nk_ReadMaskIndVol(Vm, Vp, label, labelop)
% ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
% function [dims,indvol] = nk_ReadMaskIndVol(Vm)
% ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
indvol=[];
if ~exist('Vm','var') || isempty(Vm)
Pm = spm_select(1,'image','Space-defining im... |
f2392cde245d3fbde4f5929b23e4727938bbb525ebc30df2ed01da3433d6f7b5 | MATLAB | 1,334 | 37 | function [trainSetTrainSubset,trainClassTrainSubset,trainSetTestSubset,trainClassTestSubset]=splitTrain2TrainTestSubset(trainSet,trainClass,option)
% as the function name
%%%%
% Copyright (C) <2012> <Yifeng Li>
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Ge... |
df023dce1a56ea7877c236f48fc06beb27fc948f1925010c77d0f18073ce8733 | MATLAB | 1,337 | 68 | function [ypred,tabkppv,distance]=kNNm(xapp,yapp,valY,X,k)
%
% knn implementation
%
% USE : [ypred,tabkppv,distance]=knn(xapp,yapp,valY,X,k)
%
% xapp, yapp : learning data
% valY : all the Y value possible
% X : data to be classified
% k : number of nearest neighbours
%
% ypred : class of X
% tabkppv : [nbpts x nbpts]... |
aa4de558c88732492251d677822aabdc99f6471bfd59043e879683baa3cc36ba | MATLAB | 1,340 | 41 | %% script for selecting random animal from given group:
% We can choose to set a random seed if we want a repeatable sequence of
% choices
rseed = 2;
rng(rseed);
% xenocanto's web interface returns this many items per page:
MAXPERPAGE = 30;
% Select the animal type here:
% (as of dec 2025, xenocanto has "... |
ca2296d2541e55fc61eca572a083bb9708a838864f741fd5c712237ccb55504e | MATLAB | 1,341 | 52 | function S1 = my_conv2(S1, sig, varargin)
% takes an extra argument which specifies which dimension to filter on
% extra argument can be a vector with all dimensions that need to be
% smoothed, in which case sig can also be a vector of different smoothing
% constants
idims = 2;
if ~isempty(varargin)
idims = vararg... |
fd322cbb181a312154a495ffcf836be91614bff1d0eff9d534d283daecd15800 | MATLAB | 1,342 | 36 | function [S,lambda,gamma] = SanalyticER(n,k,C,L,FLAG)
% SANALYTICER computes small-world-ness for analytic E-R graph values
% [S,lambda,gamma] = SANALYTICER(N,K,C,L,FLAG) computes small-world-ness S, for networks of
% size N, mean degree K, clustering coefficient C, and path length L,
% where each is an array of... |
1c6cfe0a3b87ed088333f7919a6e09477735ae3a27fb8c3099f941916a16b04e | MATLAB | 1,343 | 38 | function [wave] = PL2WavesBySource(filename, source, channelInSource, unit)
% PL2WavesBySource( filename, source, channelInSource, unit ): read spike timestamps and waveforms from a .pl2 file
% returns waveform values in millivolts
%
% wave = PL2WavesBySource( filename, source, channelInSource, unit )
% ... |
4eb60fd94a88d3613fc585087d54a4f665d4cc9435f16a877afdd27ab351efd5 | MATLAB | 1,344 | 50 | function param = nk_SVM_config(res, param, progtype, kerntype, parentstr)
if ~exist('progtype','var'), progtype = []; end
if ~exist('kerntype','var'), kerntype = []; end
%% Define SVM optimization options depending on the SVM implementation
if isempty(progtype)
sftmenu = ['SVM --------------> LIBSVM|' ...
... |
756f3930aaa227873517270a8987583ecf35dc87efd4bcbe067fc61147d5b0e5 | MATLAB | 1,344 | 42 | function b=SB(K, trainClass)
% compte the averaged distance between all class centroids
% K: kernel matrix
% trainClass: column vector, the class labels of the samples
%%%%
% Copyright (C) <2012> <Yifeng Li>
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Gener... |
a923ff4a536665cef42bd16bd05161796ae42dc080a69a9eccc30dd5b7e55ec2 | MATLAB | 1,344 | 39 | function [neighborIds neighborDistances] = kNearestNeighbors(dataMatrix, queryMatrix, k)
%--------------------------------------------------------------------------
% Program to find the k - nearest neighbors (kNN) within a set of points.
% Distance metric used: Euclidean distance
%
% Usage:
% [neighbors distances] =... |
4b68a8deb47326493c71c69e95ee88845aaaa5c52e48b2b50809c3100e254cb1 | MATLAB | 1,345 | 54 | function [ out] = msMaxFrames( ms, frames, filtering)
%MSMAXFRAMES Summary of this function goes here
% Detailed explanation goes here
%Parameters
filtering_factor = 2;
meanFrame = ms.meanFrame{ms.selectedAlignment};
max_mean_frame = median(median(meanFrame));
[rows, columns] = size(meanFrame);
max_projection = ... |
9b46cfe6d138b801208047721d5d0beac57b0f19869bc6706fc05a3ff7163411 | MATLAB | 1,347 | 48 | function [maps, weights] = ecalib_3d( ksp, ncalib, ksize)
eigThresh_k = 0.02; % threshold of eigenvectors in k-space
eigThresh_im = 0.9; % threshold of eigenvectors in image space
% Generate ESPIRiT Maps (Takes 30 secs to 1 minute)
%[sx,sy,Nc] = size(ksp);
sz_ksp = size(ksp);
Nc=sz_ksp(4);
sz_calib=[ncalib,ncalib,nca... |
0954abe9aeb1248a13cf25d2dd32afb1e8c5ba184fbf6d8a8954d746a1ed921b | MATLAB | 1,348 | 28 | %% Pipeline for the proper concatenation of miniscope data across sessions
% Developed by Daniel Almeida Filho Mar/2020 (SilvaLab - UCLA)
% If you have any questions, please send an email to
% almeidafilhodg@ucla.edu
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Step 2: Alignment across... |
3378ce65ca27a1e71fd4cadc113a97b1fc1bfad80d8ad481ae8c7eaa8bd02306 | MATLAB | 1,348 | 42 | % Objective function for extended NDM (eNDM)
%
% param(1) = x0_value
% param(2) = beta1 = diffusivity parameter
% param(3) = alpha1 = linear growth/clearance term in x
% param(4) = alpha2 = cell-type reweighting for alpha1
% param(5) = beta2 = cell-type reweighting for beta1
function [f] = objfun_eNDM(param,seed_lo... |
5cd96adf837c6ca89278f5730373043fcc6233cef16d99e2ac7918879f99d7ba | MATLAB | 1,348 | 38 | function ClusterFunc_ShowCrosscorr(self)
% ClusterFunc_ShowCrosscorr(self)
% ADR 2012
%
% Status: PROMOTED (Release version)
% See documentation for copyright (owned by original authors) and warranties (none!).
% This code released as part of MClust 3.0.
% Version control M4.0.
% Extensively modified by ADR to accomod... |
1f7ad0d79d757aee17b3f3c490b84bf928811c5b60218145fefaf6f4c5e0113c | MATLAB | 1,349 | 38 | function [ D, datatype, brainmask, badcoords, threshval, threshop] = getD(FUSEFLAG, inp, n)
if isfield(inp,'stacking') && inp.stacking
datatype = 0;
brainmask = [];
badcoords = false(1,inp.nD);
threshval = [];
threshop = [];
D = inp.nD;
else
switch FUSEFLAG
ca... |
1f66870bc82b3b8135927d2641a0b15d1bfa40101c964511aef74e49b5266d49 | MATLAB | 1,352 | 64 | function [fea] = mrmr_miq_d(d, f, K)
% function [fea] = mrmr_miq_d(d, f, K)
%
% MIQ scheme according to MRMR
%
% By Hanchuan Peng
% April 16, 2003
%
bdisp=0;
nd = size(d,2);
nc = size(d,1);
t1=cputime;
for i=1:nd,
t(i) = mutualinfo(d(:,i), f);
end;
%fprintf('calculate the marginal dmi costs %5.1fs.\n', cputime... |
2990c7cf6c8b415f5a141dfeca25df3c1fcffb07d92518642e6a8536b087d57b | MATLAB | 1,354 | 64 | function [tY, Fx] = nk_ExtractFeatures(Y, F, Ytest, indF)
if iscell(Y)
nvar = size(Y,2);
tY = cell(1,nvar);
for v=1:nvar
if isempty(Ytest)
if isempty(F)
tY{v} = Y{v};
else
D = size(Y{v},2);
try
Fx = ... |
9521633df35596967ef71c9aa8ea77802098297167735628f990561b0bfaf0d6 | MATLAB | 1,355 | 40 | clear
load('ProcessedData\tables_compiled.mat');
%% Indivial corr figs for day 1
ID_unique = unique(animal_ID);
D1_deltas = tables_compiled{1,1}.Deltas;
figure,
t = tiledlayout(3,5,'TileSpacing','Compact');
trial_cutoff = 8;
for i = 1:length(used_ID)
animal_now = ID_unique(i);
delta_now = D1_deltas(:... |
f73708fc4189ca4e1aec74e116e22e7d3f941aa38388669aee2ac347f8377dfb | MATLAB | 1,357 | 52 | function PP = nk_AddParam(p, desc, t, PP, actstr)
if ~exist('actstr','var'), actstr = []; end
if strcmp(actstr,'reset')
Px = struct('Params',[],'Params_desc',[],'Typ',[]); PP.Px = Px; PP.opt = []; return
elseif ~exist('PP','var') || isempty(PP) || strcmp(actstr,'replace')
Px = struct('Params',[],'Params_desc',... |
ea4f69fe5124eaedf19ab45e8c41ce7335e241a01de7bff3fba6f0f1c41a3997 | MATLAB | 1,359 | 46 | function [Y_mapped, Y_mapped_ciu, Y_mapped_cil, Y_mapped_std] = nk_MapModelPredictions(n, O, R, I, MapIdx, Method, NormRange, ZnormData)
m = size(R,1);
if ~exist('ZnormData','var') || isempty('ZnormData')
ZnormData = false;
end
tY_mapped = zeros(m,n);
Y_mapped = zeros(1,n);
Y_mapped_ciu = zeros(1,n... |
a1805efd85a6f6b1bbb63813a98a49ba71c3a2d6e9b302153ba7b8dbdc23c5b3 | MATLAB | 1,360 | 42 | % Objective function for NDM (using numeric integration for ode)
%
% param(1) = beta
% param(2) = x0_value
function [f] = objfun_NDM_numeric_costopts(param,seed_location,pathology,time_stamps,C,costfun)
beta = param(1);
x0 = param(2)*seed_location;
% Calculate predictions y with NDM
% Solve NDM;
[... |
a82f794de826e569e9fbda24e02406e54d96ace837452a6cd5650b7c52cb3c93 | MATLAB | 1,360 | 39 | function [ad] = PL2AdSpanBySource(filename, source, channelInSource, startCount, endCount)
% PL2AdSpanBySource(filename, source, channelInSource, startCount, endCount): read a span of a/d data from a .pl2 file
% returns a/d values in millivolts
%
% examples:
%
% ad = PL2AdSpanBySource(filename, source, c... |
f58ec22c33fa402b6d46a8e0d48f35d86e4c6c2a86945d88efca5a83534143b5 | MATLAB | 1,362 | 28 | function SUBGROUP = nk_SubgroupOperation_config( NM, SUBGROUP )
if ~isfield(SUBGROUP,'indperc') || isempty(SUBGROUP.indperc)
SUBGROUP.indperc = 50;
end
if isfield(NM,'C')
menustr = ['Entire training set|' ...
'User-defined subset of training partition|' ...
'Random subset of the ... |
3790361cbb3f3f72c3446310c605ae47a3a7562e0d6791d6d65dd01ddafe0806 | MATLAB | 1,363 | 45 | %% FUNCTION mtSplitPerc
% Solve the l1 projection problem
%
%% OBJECTIVE
% output = argmin_Z beta/2gamma ||Z - S||_F^2 + |Z|_1
%
%% INPUT
% Sp: S the point to be projected
% beta,gamma: projection parameter
%
%% OUTPUT
% Tp: projected point
%
%% LICENSE
% This program is free software: you can redis... |
7b40d0ae266e5c6acf7efe664e29b7370436a7f7cd29a2b87a4d8b7e7d3fe286 | MATLAB | 1,365 | 35 | function [ nexFile ] = nexAddContinuous( nexFile, startTime, adFreq, values, name )
% [nexFile] = nexAddContinuous( nexFile, startTime, adFreq, values, name )
% -- adds continuous variable to nexFile data structure
%
% INPUT:
% nexFile - nex file data structure created in nexCreateFileData
% startTime - ti... |
f826d6f9999c10c39e4dfa29faaf418cfa420499bb759768699beb009d648860 | MATLAB | 1,366 | 49 | function [C, dA] = mcml_grad(x, X, P)
%MCML_GRAD Computes MCML cost function and gradient
%
% [C, dA] = mcml_grad(x, X, P)
%
% Computes MCML cost function and gradient.
%
%
% This file is part of the Matlab Toolbox for Dimensionality Reduction.
% The toolbox can be obtained from http://homepage.tudelft.nl/19j49
% Y... |
55e7116c1b9bb8760b5342cecef2d6bae6cad4d7bb7e71aab1d8f1abc5119e75 | MATLAB | 1,370 | 52 | function residualplot(x,residuals,attrib,labx,laby,nid)
%RESIDUALPLOT plots the residuals from a regression analysis versus x
%
% Required input arguments:
% x : the vector to be plotted on de x-axis
% residuals : the residuals
% attrib : string identifying the used method = 'LS', 'MLR', 'LTS', 'MCDREG'... |
431be3c41e121e7a47a1815aaf41fc3cd3138385fa6585b9cca6cd0e10e74f75 | MATLAB | 1,372 | 49 | function selectedFeatures = CMIM(k, featureMatrix, classColumn)
%function selectedFeatures = CMIM(k, featureMatrix, classColumn)
%Computes conditional mutual information maximisation algorithm from
%"Fast Binary Feature Selection with Conditional Mutual Information"
%by F. Fleuret (2004)
%Computes the top k features f... |
d46a5d37b9f9484069d6ba8146e5c2434b40624923432c351578106c5c83abc8 | MATLAB | 1,373 | 31 | function FR = CalcFoopsiThresh(Data,DownSampleFactor)
% Function to calculate the Foopsi Thresholded deconvolution of a dataset
% comprising recordings of calcium imaging data.
% Reference paper: Friedrich, J., Zhou, P. and Paninski, L., 2017. Fast
% online deconvolution of calcium imaging data. PLoS computational bio... |
b079d2611e67d65d7bf53083092491002f6660e1ac2a3c35ee500d4fda0a9159 | MATLAB | 1,374 | 53 | function indLog=leaveMOut(m,C)
% leave one out
% C can be scalar or vector
% C: if C is scalar, it is the number of samples; if C is a vector, it is the class labels
% Yifeng Li
% Oct 29, 2012
% example:
% m=10;
% C=[0;0;0;0;1;1;1;1;1;1;2;2;2;2;2;2;2;2;2;2];
% indLog=leaveMOut(m,C)
numS=numel(C);
if numS==1 % C is t... |
3559d1235b4ab3301fd4a7ddef41d58ae486b904588007594fbe1ea477d91757 | MATLAB | 1,376 | 45 | function range=searchkernelRange(trainSet,trainClass,option)
% search the feasible range of gamma of rbf kernel
%%%%
% Copyright (C) <2012> <Yifeng Li>
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Fo... |
7e3c80c93f7070f6b4cac2189bbae2278f20a5e5559eeead6cee3847c1e49ce2 | MATLAB | 1,376 | 45 | function [C, dC] = mvu_x_grad(Y, N, no_dims, ni, K, DX, lambda)
%MVU_X_GRAD This file is not currently used by the toolbox
% This file is part of the Matlab Toolbox for Dimensionality Reduction.
% The toolbox can be obtained from http://homepage.tudelft.nl/19j49
% You are free to use, change, or redistribute this code... |
8ee70c23172005c069f99d12e45b2a1edc8539d9017349848605c3eb819f9435 | MATLAB | 1,376 | 59 | function screeplot(vec,attrib,lev)
%SCREEPLOT draws the eigenvalues of the covariance matrix of the data in decreasing order.
% It can be used to decide how many latent variables to retain in a PCA analysis
% by looking at the kink in the curve.
%
% Reference: J.A. Jackson (1991), "A User's Guide to Principal Compon... |
941acc5565388dc69f56f4a733033d4c0ed4611efc9a8fbf8a72687469501e8d | MATLAB | 1,378 | 34 | function [ad] = PL2Ad(filename, channel)
% PL2Ad(filename, channel): read all a/d data for the specified channel from a .pl2 file
% returns a/d values in millivolts
%
% examples:
%
% ad = PL2Ad(filename, channel)
% ad = PL2Ad(filename, 2)
% ad = PL2Ad(filename, 'FP02')
%
% INPUT:
% filename - if empty ... |
84bab9c65f16f12b36fade5602bac966acad2d7db41f85e77a42b7db41f7d52e | MATLAB | 1,379 | 37 | function param = nk_Simba_config(param, setupfl)
% function param = nk_Simba_config(param, setupfl)
%
% Setup parameters for the Simba algorithm
% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% (c) N. Koutsouleris 03/2010
max_iter = 5;
block_size = 1;
utilfunc = 1;
iter_abort_crit=100;
if ~setupfl
if isfield(... |
08602a62d1a086f9c161ca1ff1f617efeac21c19a5fc2c96830d9f0d07958f4e | MATLAB | 1,381 | 70 | classdef CvxHullCluster < MClust.ClusterTypes.DisplayableCluster
% Convex Hull Cluster
%
% the type we had in MClust 2.0
properties(SetObservable)
%
featuresX = {};
featuresY = {};
xg = {}; % limits
yg = {};
end
methods(Static, Access=public)
function bool = Modifiable()
bool=true;
end
end
... |
a8f323f47385f041b03828eeeffc7e5574ba0e8c30502cba5881297172d987b6 | MATLAB | 1,381 | 40 | function compare_partitions_resppred(EventTypes,partition,parttags,patgr_nm)
%COMPARE_PARTITIONS_RESPPRED Compare partitioned trials in responsive/ predictive units
% COMPARE_PARTITIONS_RESPPRED(EventTypes,partition,parttags)
% -Compares partitioned sets of trials in responsive/ predictive units
% using pe... |
50a035bb9b271b04c2b574d7a81dee0893a2e1d8b428b4b228c30efaab9e82c8 | MATLAB | 1,382 | 58 | function Projection2(self)
% Recalculate Projection (self)
% Projection plan 2
%
% Modified from Jadin Jackson's original code.
MCD = MClust.GetData();
nFeatures = length(self.Features);
% --------------------------
% Find points in n-dimensions
C1 = self.PrimaryCluster;
C2 = self.SecondaryCluster;
FD = nan(MCD.n... |
0692cce85f92cab92ed60821610194118988ab7427795a45263e51e5240a824f | MATLAB | 1,383 | 31 | function FR = CalcFoopsiThresh(Data,DownSampleFactor)
% Function to calculate the Foopsi Thresholded deconvolution of a dataset
% comprising recordings of calcium imaging data.
% Reference paper: Friedrich, J., Zhou, P. and Paninski, L., 2017. Fast
% online deconvolution of calcium imaging data. PLoS computational bio... |
832c6c83c2610f062b693fd2407aabcb5d7e61447ee9b0b93ba13b13e0f048f2 | MATLAB | 1,383 | 53 | function lsscatter(x,y,fitted,attrib)
%LSSCATTER makes a scatter plot with regression (LTS/LS) line
%
% Required input arguments:
% x : predictor variabele (without missing values)
% y : response variabele
% fitted : fitted values corresponding with the regression
% attrib : string identifying the used metho... |
7094b81375a8ed0972f12d9f2edb7c16b10b22179bf794fbe8fa257fe34f1ec6 | MATLAB | 1,393 | 46 | % This is an example of how to use weighted NMF on data with missing values.
%%%%
% Copyright (C) <2012> <Yifeng Li>
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the L... |
b86144c8429bf23fe9d0a86c57478924e43953c920438eed81b22ba1368e432d | MATLAB | 1,394 | 61 | function [mWV, sWV, xrange] = AverageWaveform(WV,varargin)
% AverageWaveform(wv)
%
%
% INPUTS
% wv -- tsd of tt or waveform data
%
% OUTPUTS
% mWV - mean waveform 4 x 32
% sWV - stddev waveform 4 x 32
%
%
% ADR 1998
%
% Status: PROMOTED (Release version)
% See documentation for copyright (owned by original au... |
ae30a6b9d6e1239446e9fda6586082d213e7aab09a4220d35c3107b58f799c28 | MATLAB | 1,395 | 46 | %% Visualize Data Types with Pie Chart (Modern Colors)
% Clear workspace and command window
clear; clc;
% Display message about cleaning the workspace
disp('Workspace and command window cleared.');
% Delete txt files
delete('*.txt');
disp('Old text files deleted.');
% Load the cleaned dataset
load('combi... |
ff4d012d5f7195943d23797cff42795ba696c40f8ac3c936acddfc058ca6cd66 | MATLAB | 1,397 | 43 | function [pY, mapping] = cv_PerfICA(Y, opt, mode)
% function to extract independent components from data
% Input: Y - input data (N*D)
% Output: pY - output data (N*IC)
% in training mode, the ICs are computed; during testing the ICs are
% projected onto the unseen data (after unseen data is whitened)
global MODELDI... |
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