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: |
0.6 |
| Depends: |
R (≥ 2.14.0), mvtnorm, zoo, class |
| Suggests: |
parallel, MASS |
| Published: |
2014-05-23 |
| Author: |
Surajit Ray and Yansong Cheng |
| Maintainer: |
Surajit Ray <sray at math.bu.edu> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
Modalclust results |