RPMM: Recursively Partitioned Mixture Model
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 |
| Author: |
E. Andres Houseman, Sc.D. and Devin C. Koestler, Ph.D. |
| Maintainer: |
E. Andres Houseman <eahouseman at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| In views: |
Cluster, MachineLearning |
| CRAN checks: |
RPMM results |
Documentation:
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Reverse dependencies:
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