dpmclust-package: dpmclust: Bayesian Nonparametric Clustering Using DP-means
In bearloga/dpmclust: Bayesian Nonparametric Clustering Using 'DP-means' Algorithm
Description
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 penalty
which controls when a new cluster should be created.
References
Kulis, B., & Jordan, M. I. (2011). Revisiting k-means: New
Algorithms via Bayesian Nonparametrics.
arXiv:1111.0352
bearloga/dpmclust documentation built on March 7, 2020, 7:11 p.m.
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Description
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 penalty which controls when a new cluster should be created.
References
Kulis, B., & Jordan, M. I. (2011). Revisiting k-means: New Algorithms via Bayesian Nonparametrics. arXiv:1111.0352
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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