API chages:
pca_weighted
is now keyword ofClustergram.plot()
not init.
Enhancements:
- Support
MiniBatchKMeans
(sklearn) - Custom repr
- Expose cluster labels obtained during the loop
- Expose cluster centers
- Silhouette score
- Calinski and Harabasz score
- Davies-Bouldin score
Version 0.2.0 brings support of Gaussian Mixture Models (using scikit-learn) and few minor changes.
Enhancements:
- Gaussian Mixture Model support (#4)
- Verbosity - Clustergram now indicates the progress
- Additional arguments can be passed to the PCA object
Bug fixes:
- BUG: avoid LinAlgError: singular matrix