Clustergram

Spring comes with native hierarchical clustering and the ability to create clustergam from a manual input.

__Enhancements__:

- ENH: support hierarchical clustering using ``scipy`` (11)
- ENH: ``from_data`` and ``from_centers`` methods (12)

API changes:

- ``pca_weighted`` is now keyword of ``Clustergram.plot()`` not ``__init__``.

Enhancements:

- Support ``MiniBatchKMeans`` (``scikit-learn``)
- 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