Implement event handler functions for heatmap, K-Means, cluster plot, and naming events; refactor main.js to use these handlers.

Add search cluster sorting mode; implement dropdown for selecting sorting criteria in heatmap functionality.

Enhance heatmap button functionality; add progress bar updates to indicate processing stages.

Update button labels for clarity; change 'Naming Cluster' to 'Generate Name' and 'Similarity Heatmap' to 'Similarity'.

Add cluster plot functionality; implement event handler for cluster plot button and update textarea with cluster names.

Enhance heatmap functionality; reorder clusters based on similarity to search cluster and update axis labels accordingly.

Enhance cluster naming functionality; store traces globally for UMAP scatter plot updates and ensure proper legend updates with new cluster names.

Update page title and enhance cluster naming functionality; change title to "Text Embedding Playground" and implement cluster naming button with progress indication.

Refactor balanced K-Means implementation; update beta parameter default value, handle empty embeddings, and ensure proper centroid updates. Enhance UI to include beta input and adjust event handler to read beta value for clustering.

Implement balanced K-Means clustering; add new clustering type option in UI and update event handler to support balanced K-Means functionality.

Enhance cluster naming and K-Means functionality; implement random selection for cluster names, improve centroid initialization, and adjust UMAP parameters for better projection accuracy.

Update UMAP configuration to improve clustering accuracy by adjusting minDist and adding metric parameter

Rename heatmap button ID for consistency and update event handler references in main.js

Refactor K-Means clustering implementation; modularize embedding and clustering logic, enhance heatmap and scatter plot functions, and improve cluster naming process.

Refactor K-Means clustering code for improved readability and performance; streamline cluster name generation and enhance progress bar updates

Refactor K-Means input handling to exclude cluster header lines and adjust heatmap margin settings for improved layout

Add cluster name extraction for heatmap axis labels in K-Means clustering

Reduce K-Means iteration count from 200 to 100; adjust UMAP neighbor calculation for improved clustering performance

Enhance K-Means clustering functionality by refining input handling and increasing iteration count; update output format to include cluster names as headers.

Add prompt cluster logic for summarizing multiple sentences into concise phrases

Update K-Means input range and enhance cluster name extraction logic for improved accuracy

Initialize textarea with random sentences and update K-Means clustering message format for improved clarity

Refine cluster name extraction in K-Means implementation to handle special tokens and improve naming accuracy

Update initial input values in textarea and enhance K-Means clustering visualization with improved plot width and legend positioning

Add initial scatter plot with placeholder names for K-Means clustering results

move to main