popsom7: A User-Friendly Implementation of Self-Organizing Maps
Self-organizing maps with a number of distinguishing features:
(1) Automatic centroid detection and cluster visualization using starbursts, for more details see the paper "Improved Interpretability of the Unified Distance Matrix with Connected Components" by Hamel and Brown (2011) in <ISBN:1-60132-168-6>.
(2) Two models of the data: (a) a self organizing map model, (b) a centroid based clustering model.
(3) A number of easily accessible quality metrics, Hamel (2016) <doi:10.1007/978-3-319-28518-4_4>.
Version: |
7.0.0 |
Imports: |
fields, graphics, ggplot2, hash, stats, som, grDevices |
Suggests: |
testthat (≥ 3.0.0) |
Published: |
2025-02-19 |
DOI: |
10.32614/CRAN.package.popsom7 |
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> |
BugReports: |
https://github.com/lutzhamel/popsom7/issues |
License: |
GPL-3 |
URL: |
https://github.com/lutzhamel/popsom7 |
NeedsCompilation: |
no |
Materials: |
NEWS |
CRAN checks: |
popsom7 results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=popsom7
to link to this page.