clustering-algorithm

A high performance implementation of HDBSCAN clustering.

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

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

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

Collection of algorithms in multiple programming languages.

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

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

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍

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

Clustering / Subspace Clustering Algorithms on MATLAB

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.

A Python implementation of COP-KMEANS algorithm

A simple python implementation of Fuzzy C-means algorithm.

Implements "Clustering a Million Faces by Identity"

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

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

Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).

Various scripts to support deeplabcut and what to do afterwards!