Hierarchical Modal Clustering Perfroms 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 summarized as a hierarchical tree. Associated plot functions are also provided. There is a package vignette that provides many examples. Software Depends: R (>= 1.8.0), mvtnorm, zoo, class Suggests: MASS, multicore Surajit Ray <sray@math.bu.edu> Surajit Ray and Yansong Cheng GPL-2 2012-05-02 application/tgz http://CRAN.R-project.org/package=Modalclust