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>
License: GPL-2
NeedsCompilation: no
CRAN checks: Modalclust results


Reference manual: Modalclust.pdf
Vignettes: Model based clustering via mode identification


Package source: Modalclust_0.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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