#statistics #stats #probability #clustering #computer-vision

mixturs

Unofficial implementation of Dirichlet Process Mixture Model Split/Merge algorithm

1 unstable release

0.1.0 Sep 17, 2022

#43 in #probability

MIT license

210KB
2.5K SLoC

mixturs

Crates.io License Docs

Unofficial implementation of Dirichlet Process Mixture Model Split/Merge algorithm.

FeaturesUsageExamples

To use as a library, add the following to your Cargo.toml. Executable builds can be found at https://github.com/EgorDm/mixturs/releases.

[dependencies]
mixturs = "0.1"

Features

WIP

Examples

WIP

Reference

[1] J. Chang and J. W. Fisher III, “Parallel Sampling of DP Mixture Models using Sub-Cluster Splits,” in Advances in Neural Information Processing Systems, 2013.

[2] O. Dinari, A. Yu, O. Freifeld, and J. Fisher, “Distributed MCMC Inference in Dirichlet Process Mixture Models Using Julia,” in 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

Dependencies

~7–10MB
~193K SLoC