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.
|Depends:||R (≥ 2.14.0), mvtnorm, zoo, class|
|Author:||Surajit Ray and Yansong Cheng|
|Maintainer:||Surajit Ray <sray at math.bu.edu>|
|CRAN checks:||Modalclust results|
Model based clustering via mode identification
|Windows binaries:||r-devel: Modalclust_0.6.zip, r-release: Modalclust_0.6.zip, r-oldrel: Modalclust_0.6.zip|
|OS X Mavericks binaries:||r-release: Modalclust_0.6.tgz, r-oldrel: Modalclust_0.6.tgz|
|Old sources:||Modalclust archive|
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