Package: popsom
Version: 5.2
Date: 2021-7-9
Title: A Very Efficient Implementation of Kohonen's Self-Organizing
        Maps (SOMs) with Starburst Visualizations
Authors@R: c(person("Lutz", "Hamel", role = c("aut", "cre"), email = "lutzhamel@uri.edu"),
             person("Benjamin", "Ott", role = "aut"),
             person("Gregory", "Breard", role = "aut"),
             person("Robert", "Tatoian", role = "aut"),
             person("Michael", "Eiger", role = "aut"),
             person("Vishakh", "Gopu", role = "aut"))
Imports: fields, graphics, ggplot2, hash, stats, grDevices
Description: Kohonen's self-organizing maps with a number of distinguishing features:
    (1) A very efficient, single threaded, stochastic training algorithm based on ideas from tensor algebra.  Up to 60x faster than traditional single-threaded training algorithms. No special accelerator hardware required.
    (2) Automatic centroid detection and visualization using starbursts.
    (3) Two models of the data: (a) a self-organizing map model, (b) a centroid based clustering model.
    (4) A number of easily accessible quality metrics for the self-organizing map and the centroid based cluster model.
License: GPL
URL: https://github.com/lutzhamel/popsom
NeedsCompilation: yes
Packaged: 2021-07-09 15:41:54 UTC; ubuntu
Author: Lutz Hamel [aut, cre],
  Benjamin Ott [aut],
  Gregory Breard [aut],
  Robert Tatoian [aut],
  Michael Eiger [aut],
  Vishakh Gopu [aut]
Maintainer: Lutz Hamel <lutzhamel@uri.edu>
Repository: CRAN
Date/Publication: 2021-07-09 23:00:02 UTC
Built: R 4.1.2; x86_64-w64-mingw32; 2021-12-18 10:17:53 UTC; windows
Archs: i386, x64
