Clustering Algorithm Python Packages

hdbscan

A high performance implementation of HDBSCAN clustering.

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

infomap

Multi-level network clustering based on the Map Equation

fuzzy-c-means

A simple python implementation of Fuzzy C-means algorithm.

genieclust

Genie: Fast and Robust Hierarchical Clustering

bblean

BitBIRCH-Lean, a memory-efficient implementation of BitBIRCH designed for high-throughput clustering of huge molecular libraries

hdbscan-314

A high performance implementation of HDBSCAN clustering.

aisp

Package with techniques of artificial immune systems.

hdbscan-rs

High-performance HDBSCAN clustering in Rust

cake-ensemble

Confidence in Assignments via K-partition Ensembles

lumbermark

Lumbermark: Resistant Clustering via Chopping Up Mutual Reachability Minimum Spanning Trees

fast-plscan

A fast multi-core implementation of the PLSCAN clustering algorithm.

spherecluster

Clustering routines for the unit sphere

shgo

Simplicial Homology Global Optimization

imageatlas

A toolkit for organizing, cleaning and analysing your image datasets.

finchpy

FINCH - First Integer Neighbor Clustering Hierarchy Algorithm

torchsom

TorchSOM is a PyTorch-based library for training Self-Organizing Maps (SOMs), a model trained in an unsupervised manner, that can be used for clustering, dimensionality reduction and data visualization. It is designed to be scalable and user-friendly.

persistable-clustering

density-based clustering for exploratory data analysis based on multi-parameter persistence

gower-exp

More Preformant Gower distance with modern Python tooling

clustering-algorithms

K-means and C-means experiments with Numpy

itclust

Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis

adenine

ADENINE: A Data ExploratioN PipelINE

scikit-clarans

Scikit-learn compatible CLARANS clustering

localclustering

Python 3 implementation and documentation of the Hermina-Janos local graph clustering algorithm.