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.
||R (≥ 2.14.0), mvtnorm, zoo, class
||Surajit Ray and Yansong Cheng
||Surajit Ray <sray at math.bu.edu>