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.
Version: |
0.7 |
Depends: |
R (≥ 2.14.0), mvtnorm, zoo, class |
Suggests: |
parallel, MASS |
Published: |
2018-11-14 |
Author: |
Surajit Ray and Yansong Cheng |
Maintainer: |
Surajit Ray <surajit.ray at glasgow.ac.uk> |
License: |
GPL-2 |
NeedsCompilation: |
no |
CRAN checks: |
Modalclust results |
Documentation:
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