sClust: R Toolbox for Unsupervised Spectral Clustering

Toolbox containing a variety of spectral clustering tools functions. Among the tools available are the hierarchical spectral clustering algorithm, the Shi and Malik clustering algorithm, the Perona and Freeman algorithm, the non-normalized clustering, the Von Luxburg algorithm, the Partition Around Medoids clustering algorithm, a multi-level clustering algorithm, recursive clustering and the fast method for all clustering algorithm. As well as other tools needed to run these algorithms or useful for unsupervised spectral clustering. This toolbox aims to gather the main tools for unsupervised spectral classification. See <http://mawenzi.univ-littoral.fr/> for more information and documentation.

Version: 1.0
Depends: R (≥ 3.0.0)
Imports: cluster, stats, grDevices, class
Published: 2021-08-23
Author: Emilie Poisson-Caillault [aut, cre, cph], Alain Lefebvre [ctb], Erwan Vincent [aut], Pierre-Alexandre Hebert [ctb]
Maintainer: Emilie Poisson-Caillault <emilie.caillault at univ-littoral.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: sClust results

Downloads:

Reference manual: sClust.pdf
Package source: sClust_1.0.tar.gz
Windows binaries: r-devel: sClust_1.0.zip, r-release: sClust_1.0.zip, r-oldrel: sClust_1.0.zip
macOS binaries: r-release (arm64): sClust_1.0.tgz, r-release (x86_64): sClust_1.0.tgz, r-oldrel: sClust_1.0.tgz

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