RPMM: Recursively Partitioned Mixture Model (original) (raw)

Recursively Partitioned Mixture Model for Beta and Gaussian Mixtures. This is a model-based clustering algorithm that returns a hierarchy of classes, similar to hierarchical clustering, but also similar to finite mixture models.

Version: 1.25
Depends: R (≥ 2.3.12), cluster
Published: 2017-02-28
DOI: 10.32614/CRAN.package.RPMM
Author: E. Andres Houseman, Sc.D. and Devin C. Koestler, Ph.D.
Maintainer: E. Andres Houseman
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: Cluster, MachineLearning
CRAN checks: RPMM results

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