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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 |
| DOI: | 10.32614/CRAN.package.Modalclust |
| Author: | Surajit Ray and Yansong Cheng |
| Maintainer: | Surajit Ray <surajit.ray at glasgow.ac.uk> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | Modalclust results |
| Reference manual: | Modalclust.pdf |
| Vignettes: |
Model based clustering via mode identification |
| Package source: | Modalclust_0.7.tar.gz |
| Windows binaries: | r-devel: Modalclust_0.7.zip, r-release: Modalclust_0.7.zip, r-oldrel: Modalclust_0.7.zip |
| macOS binaries: | r-release (arm64): Modalclust_0.7.tgz, r-oldrel (arm64): Modalclust_0.7.tgz, r-release (x86_64): Modalclust_0.7.tgz, r-oldrel (x86_64): Modalclust_0.7.tgz |
| Old sources: | Modalclust archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.