Performs 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 summarised as a hierarchical tree. Associated plot functions are also provided. There is a package vignette that provides many examples. This version adheres to CRAN policy of not spanning more than two child processes by default.
| Version: | 0.6 |
| Depends: | R (≥ 2.14.0), mvtnorm, zoo, class |
| Suggests: | parallel, MASS |
| Published: | 2014-05-23 |
| Author: | Surajit Ray and Yansong Cheng |
| Maintainer: | Surajit Ray <sray at math.bu.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | Modalclust results |
| Reference manual: | Modalclust.pdf |
| Vignettes: |
Model based clustering via mode identification |
| Package source: | Modalclust_0.6.tar.gz |
| Windows binaries: | r-devel: Modalclust_0.6.zip, r-release: Modalclust_0.6.zip, r-oldrel: Modalclust_0.6.zip |
| OS X El Capitan binaries: | r-release: Modalclust_0.6.tgz |
| OS X Mavericks binaries: | r-oldrel: Modalclust_0.6.tgz |
| Old sources: | Modalclust archive |
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