A Julia package for data clustering
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Updated
Nov 24, 2025 - Julia
A Julia package for data clustering
markov clustering in python
MCL, the Markov Cluster algorithm, also known as Markov Clustering, is a method and program for clustering weighted or simple networks, a.k.a. graphs.
An implementation of the Watset clustering algorithm in Java.
Library for functional graph & geometry algorithms
Implementation of the Chinese Whispers graph clustering algorithm
Advanced Graph Clustering method documentation and implementation (From Spectral Clustering to Deep Graph Clustering)
MCL Markov Clustering in APL
Markov Clustering in Python
Basic implementation of the Markov Clustering algorithm for go
Design structure matrix clustering, sequencing and change propagation, running entirely on your own machine. Four algorithms compared side by side (spectral, MCL, Thebeau, Louvain) with per-element stability scores, so you pick the partition rather than the tool. Excel/Report out. pip install dsm-optimizer
Code supporting Beitel et al. (2014) regarding strain- and plasmid-level metagenome deconvolution using high-throughput chromosome conformation capture.
C++ code for multi-level regularised Markov clustering of a kinetic network (Markov chain community detection)
PhyloFlask — a software framework for large-scale phylogenetic profile visualization.
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