Package: sClust 1.0

Emilie Poisson-Caillault

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.

Authors:Emilie Poisson-Caillault [aut, cre, cph], Alain Lefebvre [ctb], Erwan Vincent [aut], Pierre-Alexandre Hebert [ctb]

sClust_1.0.tar.gz
sClust_1.0.tar.gz(r-4.5-noble)sClust_1.0.tar.gz(r-4.4-noble)
sClust_1.0.tgz(r-4.4-emscripten)sClust_1.0.tgz(r-4.3-emscripten)
sClust.pdf |sClust.html✨
sClust/json (API)

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

20 exports 0.23 score 3 dependencies 1 dependents 4 scripts 254 downloads

Last updated 3 years agofrom:bbb200aacc. Checks:OK: 1 NOTE: 1. Indexed: yes.

Exports:checking.gram.similarityMatrixcompute.kclustcompute.kclust2compute.laplacian.NJWcompute.nbCluster.gapcompute.similarity.gaussiencompute.similarity.ZPfastClusteringfastMSCHierarchicalClustHierarchicalSCkmeansQuantizationMSCPeronaFreemanSCrecursClustsearch.neighboorShiMalikSCspectralPAMUnormalizedSCVonLuxburgSC

Dependencies:classclusterMASS