A self-organizing map package with three distinguishing features: (1) Automatic cluster centroid detection and visualization using starbursts. (2) Maintains two models of the data: (a) a self-organizing map model (b) a centroid based clustering model. (3) A very efficient stochastic training algorithm based on ideas from tensor algebra.
Version: | 5.1 |
Imports: | fields, graphics, ggplot2, hash, stats, grDevices |
Published: | 2021-01-04 |
Author: | Lutz Hamel [aut, cre], Benjamin Ott [aut], Gregory Breard [aut], Robert Tatoian [aut], Michael Eiger [aut], Vishakh Gopu [aut] |
Maintainer: | Lutz Hamel <lutzhamel at uri.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
URL: | https://github.com/lutzhamel/popsom |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | popsom results |
Reference manual: | popsom.pdf |
Package source: | popsom_5.1.tar.gz |
Windows binaries: | r-devel: popsom_5.1.zip, r-release: popsom_5.1.zip, r-oldrel: popsom_5.1.zip |
macOS binaries: | r-release: popsom_5.1.tgz, r-oldrel: popsom_5.1.tgz |
Old sources: | popsom archive |
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