Wednesday, July 13, 2011

Checkout my new package on Clustering at CRAN

Modalclust: Hierarchical Modal Clustering

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: 0.2
Depends: R (≥ 1.8.0), mvtnorm, zoo, class
Suggests: MASS, multicore
Published: 2010-11-30
Author: Surajit Ray and Yansong Cheng
Maintainer: Surajit Ray
License: GPL-2
CRAN checks: Modalclust results

Downloads:

Package source: Modalclust_0.2.tar.gz
MacOS X binary: Modalclust_0.2.tgz
Windows binary: Modalclust_0.2.zip
Reference manual: Modalclust.pdf
Vignettes: Model based clustering via mode identification
Old sources: Modalclust archive

Highlighting R codes on the fly

Check out http://www.inside-r.org/pretty-r