adproclus: Additive Profile Clustering Algorithms

Obtain overlapping clustering models for object-by-variable data matrices using the Additive Profile Clustering (ADPROCLUS) method. Also contains the low dimensional ADPROCLUS method for simultaneous dimension reduction and overlapping clustering. For reference see Depril, Van Mechelen, Mirkin (2008) <doi:10.1016/j.csda.2008.04.014> and Depril, Van Mechelen, Wilderjans (2012) <doi:10.1007/s00357-012-9112-5>.

Version: 1.0.2
Depends: R (≥ 3.1.0)
Imports: checkmate, corrplot, gtools, igraph, NMFN, qgraph, stats, withr
Suggests: testthat (≥ 3.0.0)
Published: 2023-11-09
Author: Henry Heppe [aut, cre, cph], Julian Rossbroich [aut], Jeffrey Durieux [aut], Tom Wilderjans [aut]
Maintainer: Henry Heppe <heppe.henry at gmail.com>
BugReports: https://github.com/henry-heppe/adproclus/issues
License: GPL (≥ 3)
URL: https://github.com/henry-heppe/adproclus
NeedsCompilation: no
Materials: README NEWS
CRAN checks: adproclus results

Documentation:

Reference manual: adproclus.pdf

Downloads:

Package source: adproclus_1.0.2.tar.gz
Windows binaries: r-devel: adproclus_1.0.2.zip, r-release: adproclus_1.0.2.zip, r-oldrel: adproclus_1.0.2.zip
macOS binaries: r-release (arm64): adproclus_1.0.2.tgz, r-oldrel (arm64): adproclus_1.0.2.tgz, r-release (x86_64): adproclus_1.0.2.tgz, r-oldrel (x86_64): adproclus_1.0.2.tgz
Old sources: adproclus archive

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