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 |
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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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