# Model description
This is a clustering model trained on a retail resellers from Thailand dataset.
## Intended uses & limitations
Each dot represents a different form of media(photo, video, GIF).Social media frequency and way of use differs from person to person,results may vary.
## Training Procedure
[More Information Needed]
### Hyperparameters
Click to expand
| Hyperparameter | Value |
| :------------: | :-------: |
| algorithm | lloyd |
| copy_x | True |
| init | k-means++ |
| max_iter | 300 |
| n_clusters | 3 |
| n_init | auto |
| random_state | None |
| tol | 0.0001 |
| verbose | 0 |
KMeans(n_clusters=3)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
| n_clusters | 3 | |
| init | 'k-means++' | |
| n_init | 'auto' | |
| max_iter | 300 | |
| tol | 0.0001 | |
| verbose | 0 | |
| random_state | None | |
| copy_x | True | |
| algorithm | 'lloyd' |