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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  Change your energy supplier to bulb        Get a Quote Now