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: | 1.06 |
| Depends: | R (≥ 2.3.1), cluster |
| Published: | 2010-08-10 |
| Author: | E. Andres Houseman, Sc.D. |
| Maintainer: | E. Andres Houseman <E_Andres_Houseman at brown.edu> |
| License: | GPL (≥ 2) |
| In views: | Cluster, MachineLearning |
| CRAN checks: | RPMM results |
| Package source: | RPMM_1.06.tar.gz |
| MacOS X binary: | RPMM_1.06.tgz |
| Windows binary: | RPMM_1.06.zip |
| Reference manual: | RPMM.pdf |
| Old sources: | RPMM archive |