bearloga/dpmclust: Bayesian Nonparametric Clustering Using 'DP-means' Algorithm
Implements the k-means-like clustering 'DP-means' algorithm by Kulis and Jordan (2011) which enables Bayesian nonparametric clustering with the unknown number of clusters determined automatically by setting a threshold which controls when a new cluster should be created.
Getting started
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Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 0.2.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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