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.


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install.packages("Modalclust")

0.7 by Surajit Ray, 9 months ago


Browse source code at https://github.com/cran/Modalclust


Authors: Surajit Ray and Yansong Cheng


Documentation:   PDF Manual  


GPL-2 license


Depends on mvtnorm, zoo, class

Suggests parallel, MASS


See at CRAN