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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:0.7
Depends:R (≥ 2.14.0),mvtnorm,zoo,class
Suggests:parallel,MASS
Published:2018-11-14
DOI:10.32614/CRAN.package.Modalclust
Author:Surajit Ray and Yansong Cheng
Maintainer:Surajit Ray <surajit.ray at glasgow.ac.uk>
License:GPL-2
NeedsCompilation:no
CRAN checks:Modalclust results

Documentation:

Reference manual:Modalclust.html ,Modalclust.pdf
Vignettes:Model based clustering via mode identification (source,R code)

Downloads:

Package source: Modalclust_0.7.tar.gz
Windows binaries: r-devel:Modalclust_0.7.zip, r-release:Modalclust_0.7.zip, r-oldrel:Modalclust_0.7.zip
macOS binaries: r-release (arm64):Modalclust_0.7.tgz, r-oldrel (arm64):Modalclust_0.7.tgz, r-release (x86_64):Modalclust_0.7.tgz, r-oldrel (x86_64):Modalclust_0.7.tgz
Old sources: Modalclust archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=Modalclustto link to this page.


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