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
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.pdf
Vignettes:	Model based clustering via mode identification

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:

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