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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.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:

Please use the canonical form https://CRAN.R-project.org/package=Modalclust to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.