Clustering Analysis Python Packages

catnip-seq

Explore nucleotide divergence and sequence resolution across user-defined categories.

extclustval

A lightweight Python package for external clustering validation metrics.

clusters-features

The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set. It computes approximatively 40 internal evaluation scores such as Davies-Bouldin Index, C Index, Dunn and its Generalized Indexes and many more ! Other features are also available to evaluate the clustering quality.

cratepy

CRATE: Accurate and efficient clustering-based nonlinear analysis of heterogeneous materials through computational homogenization

mica

Mutual Information-based Clustering Analysis tool designed for scRNA-seq data