A high performance implementation of HDBSCAN clustering.

Clustered Forward/Deferred renderer with Physically Based Shading, Image Based Lighting and a whole lot of OpenGL.

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

Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.

Automatically exported from code.google.com/p/cdhit

Collection of algorithms in multiple programming languages.

Multi-level network clustering based on the Map Equation

Flutter GraphView is used to display data in graph structures. It can display Tree layout, Directed and Layered graph. Useful for Family Tree, Hierarchy View.

Clustering routines for the unit sphere

NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

Clustering / Subspace Clustering Algorithms on MATLAB

A simple python implementation of Fuzzy C-means algorithm.

A Python implementation of COP-KMEANS algorithm

A suite of classification clustering algorithm implementations for Java. A number of partitional, hierarchical and density-based algorithms including DBSCAN, k-Means, k-Medoids, MeanShift, Affinity Propagation, HDBSCAN and more.

Various scripts to support deeplabcut and what to do afterwards!

Java package that provides data structures and algorithms for network analysis.

Implements "Clustering a Million Faces by Identity"

BANKSY: spatial clustering

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.

iCellR is an interactive R package designed to facilitate the analysis and visualization of high-throughput single-cell sequencing data. It supports a variety of single-cell technologies, including scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq, and Spatial Transcriptomics (ST).

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

✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.

Single-Cell Clustering Assessment Framework

MATLAB code for 7 Multi-view Spectral Clustering algorithms

A Mapbox Vector Tile (MVT) map tiling server with built-in clustering and filtering

Repository For Codes And Concept Taught in Udemy Course

Cluster analysis library for Golang

Density-based spatial clustering of applications with noise

A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)