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.

Maintainer: Surajit Ray <sray at math.bu.edu>

Author(s): Surajit Ray and Yansong Cheng

Install package and any missing dependencies by running this line in your R console:

install.packages("Modalclust")

Depends R (>= 2.14.0), mvtnorm, zoo, class
Imports
Suggests parallel, MASS
Enhances
Linking to
Reverse
depends
Reverse
imports
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package Modalclust
Materials
URL
Task Views
Version 0.6
Published 2014-05-23
License GPL-2
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks Modalclust check results
Package source Modalclust_0.6.tar.gz