Changelog#
Version 0.8.1 (March 27, 2024)#
Minor compatibility update for Bokeh plotting.
Version 0.8.0 (August 1, 2023)#
API changes:
The first argument in
Clustergram.fit()
is nowX
instead ofdata
.
Enhancements:
API: follow scikit-learn API conventions (#59)
ENH: ensure that x ticks are only integers (#58)
ENH: format time in verbose mode
Version 0.7.0 (January 15, 2023)#
Enhancements:
ENH: allow weighting by a custom principal component (#35)
Compatibility notes:
clustergram
now requires Python 3.8RAPIDS.AI implementation has been tested with version 22.12.
Minor notes:
examples
dictionary has been removed. Refer to the notebooks in the documentation.
Version 0.6.0 (November 21, 2021)#
Enhancements:
ENH: optionally measure BIC during GMM (#21)
Bug fixes:
BUG:
cuML
non-weighted plot fix (#25)
Version 0.5.1 (May 24, 2021)#
Fix for from_data
method with non-default indices.
Bugs:
BUG: cluster centers empty due to index mismatch (#19)
Version 0.5.0 (May 11, 2021)#
clustergram
now supports interactive plotting using a new .bokeh()
method based on BokehJS
. It
can be handy for exploration of larger and more complex clustergrams or those with significant outliers.
Enhancements:
ENH: support interactive
bokeh
plots (#14)ENH: skip
k=1
in K-Means implementations (#18)documentation restructuring
Version 0.4.0 (April 27, 2021)#
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
andfrom_centers
methods (#12)
Version 0.3.0 (January 31, 2021)#
API changes:
pca_weighted
is now keyword ofClustergram.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 (December 21, 2020)#
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