Clustering

The Rust machine learning ecosystem is a bit shallow on cluster analysis, but you can find implementations of k-means, DBSCAN, and OPTICS algorithms scattered between the crates below.

You can also find an introduction to distribution-based clustering using Gaussian mixture models in rusty-machine in this post: Using GMMs in Rust

rusty-machine [ crate · repo · docs ]

A machine learning library.

Last Commit: 31 Mar 2018 Last Published: 06 Jan 2017 Contributors: 19 Open Issues: 38

rustml [ crate · repo · docs ]

A library for doing maching learning in Rust.

Last Commit: 31 Jan 2018 Last Published: 31 Jan 2018 Contributors: 2 Open Issues: 2

cogset [ crate · repo · docs ]

Generic implementations of clustering algorithms. Includes k-means, DBSCAN and OPTICS.

Last Commit: 13 Oct 2015 Last Published: 15 Dec 2015 Contributors: 1 Open Issues: 5

faiss [ crate · repo · docs ]

High-level bindings for Faiss, the vector similarity search engine

Last Commit: 23 Aug 2019 Last Published: 23 Aug 2019 Contributors: 2 Open Issues: 0

rusticsom [ crate · repo · docs ]

Rust library for Self Organising Maps (SOM).

Last Commit: 28 Sep 2019 Last Published: 18 Mar 2018 Contributors: 3 Open Issues: 0

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