Perfroms Modal Clustering (MAC) including Hierarchical Modal Clustering (HMAC) along with their parallel implementation (PHMAC) over several processors. These model-based non-parametric clustering techniques can extract clusters in very high dimensions with arbitrary density shapes. By default clustering is performed over several resolutions and the results are summarized as a hierarchical tree. Associated plot functions are also provided. There is a package vignette that provides many examples.
| Version: | 0.3 |
| Depends: | R (≥ 1.8.0), mvtnorm, zoo, class |
| Suggests: | MASS, multicore |
| Published: | 2012-05-02 |
| Author: | Surajit Ray and Yansong Cheng |
| Maintainer: | Surajit Ray <sray at math.bu.edu> |
| License: | GPL-2 |
| CRAN checks: | Modalclust results |
| Package source: | Modalclust_0.3.tar.gz |
| MacOS X binary: | Modalclust_0.3.tgz |
| Windows binary: | Modalclust_0.3.zip |
| Reference manual: | Modalclust.pdf |
| Vignettes: |
Model based clustering via mode identification |
| Old sources: | Modalclust archive |