K Means Python Packages

k-means-constrained

K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained

ckmeans

Optimal univariate (1D) clustering based on Ckmeans.1d.dp

pyckmeans

Consensus and WECR K-Means clustering.

diffsptk

A differentiable version of SPTK

spherecluster

Clustering routines for the unit sphere

ml-python

The easiest way to do machine learning

synloc

A Python package to create synthetic data from locally estimated distributions

superkmeans

⚡ Super fast clustering for high-dimensional vectors on CPUs (x86, ARM) and GPUs — for Python and C++. 100x faster clustering of vector embeddings than FAISS

dovalens

Automated dataset analyzer and HTML report generator

composite-silhouette

A robust clustering evaluation framework that combines micro- and macro-averaged silhouette scores into a composite metric using statistical weighting.

ballot

High-performance Python package for balanced k-means clustering using optimal transport and entropic regularization