Package: flexclust
Version: 1.4-1
Date: 2022-04-08
Authors@R: c(person(given="Friedrich", family="Leisch",
                    email="Friedrich.Leisch@R-project.org",
		    role=c("aut", "cre"),
		    comment = c(ORCID = "0000-0001-7278-1983")),
	     person(given="Evgenia", family="Dimitriadou", role="ctb"),
	     person("Bettina", "Gruen", role = "ctb",
                    comment = c(ORCID = "0000-0001-7265-4773")))
Title: Flexible Cluster Algorithms
Depends: R (>= 2.14.0), graphics, grid, lattice, modeltools
Imports: methods, parallel, stats, stats4, class
Suggests: ellipse, clue, cluster, seriation, skmeans
Description: The main function kcca implements a general framework for
  k-centroids cluster analysis supporting arbitrary distance measures
  and centroid computation. Further cluster methods include hard
  competitive learning, neural gas, and QT clustering. There are
  numerous visualization methods for cluster results (neighborhood
  graphs, convex cluster hulls, barcharts of centroids, ...), and
  bootstrap methods for the analysis of cluster stability.
License: GPL-2
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2022-04-08 10:29:28 UTC; gruen
Author: Friedrich Leisch [aut, cre] (<https://orcid.org/0000-0001-7278-1983>),
  Evgenia Dimitriadou [ctb],
  Bettina Gruen [ctb] (<https://orcid.org/0000-0001-7265-4773>)
Maintainer: Friedrich Leisch <Friedrich.Leisch@R-project.org>
Repository: CRAN
Date/Publication: 2022-04-08 11:30:46 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-08 17:30:32 UTC; windows
Archs: x64
