Clustering

linfa-clustering aims to provide pure Rust implementations of popular clustering algorithms.

Documentation: latest.

The big picture

linfa-clustering is a crate in the linfa ecosystem, a wider effort to bootstrap a toolkit for classical Machine Learning implemented in pure Rust, kin in spirit to Python's scikit-learn.

You can find a roadmap (and a selection of good first issues) here - contributors are more than welcome!

Current state

Right now linfa-clustering only provides a single algorithm, K-Means, with a couple of helper functions.

Implementation choices, algorithmic details and a tutorial can be found here.

Check here for extensive benchmarks against scikit-learn's K-means implementation.

License

Dual-licensed to be compatible with the Rust project.

Licensed under the Apache License, Version 2.0 http://www.apache.org/licenses/LICENSE-2.0 or the MIT license http://opensource.org/licenses/MIT, at your option. This file may not be copied, modified, or distributed except according to those terms.