Modalclust: Hierarchical Modal Clustering

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

Downloads:

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 Snow Leopard binaries: r-oldrel: Modalclust_0.6.tgz
OS X Mavericks binaries: r-release: Modalclust_0.6.tgz
Old sources: Modalclust archive