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
- Version1.0
- R version≥ 3.0.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release08/23/2021
Team
Emilie Poisson-Caillault
Alain Lefebvre
Show author detailsRolesContributorErwan Vincent
Show author detailsRolesAuthorPierre-Alexandre Hebert
Show author detailsRolesContributor
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- Depends1 package
- Imports4 packages
- Reverse Imports1 package