PyCVI 0.1.0

[nglm]

PyCVI 0.1.0 release notes

2023/12/22

First release of PyCVI.

Python versions

This version supports Python versions 3.8 to 3.11.

Features

• 12 internal CVIs implemented: Hartigan, Calinski-Harabasz, GapStatistic, Silhouette, ScoreFunction, Maulik-Bandyopadhyay, SD, SDbw, Dunn, Xie-Beni, XB* and Davies-Bouldin.
• Compute CVI values and select the best clustering based on the results.
• Compatible with time-series, Dynamic Time Warping (DTW) and Dynamic time warping Barycentric Average (DBA).
• Compatible with scikit-learn, scikit-learn extra, aeon and sktime, for an easy integration into any clustering pipeline in python.
• Can compute the clusterings beforehand if provided with a sklearn-like clustering class.
• Enable users to define custom CVIs.
• Variation of Information implemented (distances between clustering).
• counterparts of pdist and cdist in scipy, for time series and non time-series data.
• DTW and DBA based on aeon.

Contributors

• Natacha Galmiche (@nglm)

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This discussion was created from the release PyCVI 0.1.0.