Search 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

aisp

Artificial Immune Systems Package (AISP) is an open-source Python library that features bio-inspired algorithms based on artificial immune systems for machine learning, pattern recognition, anomaly detection, and optimization tasks.

hdbscan-rs

High-performance HDBSCAN clustering, compatible with scikit-learn

lumbermark

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

spherecluster

Clustering routines for the unit sphere

fast-plscan

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

shgo

Simplicial Homology Global Optimization

persistable-clustering

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

finchpy

A Python implementation of "FINCH Clustering Algorithm (CVPR 2019)"

densitree

Density-normalized clustering with minimum spanning tree construction for high-dimensional data

torchsom

torchsom: The Reference PyTorch Library for Self-Organizing Maps

gower-exp

Production-ready Gower distance with modern Python tooling

imageatlas

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

markowitzify

Markowitzify will implement a variety of portfolio and stock/cryptocurrency analysis methods to optimize portfolios or trading strategies. The two primary classes are "portfolio" and "stonks."

itclust

An Iterative Transfer learning algorithm for scRNA-seq Clustering

scedar

Single-cell exploratory data analysis for RNA-Seq

clustering-algorithms

K-means and C-means experiments with Numpy

vieclus

Vienna Graph Clustering

scikit-clarans

Scikit-learn compatible CLARANS clustering