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sClust
View on CRAN: Click
here
Download and install sClust package within the R console
Install from CRAN:
install.packages("sClust")
Install from Github:
library("remotes")
install_github("cran/sClust")
Install by package version:
library("remotes")
install_version("sClust", "1.0")
Attach the package and use:
library("sClust")
Maintained by
Emilie Poisson-Caillault
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-23
Latest Update: 2021-08-23
Description:
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 for more information and documentation.
How to cite:
Emilie Poisson-Caillault (2021). sClust: R Toolbox for Unsupervised Spectral Clustering. R package version 1.0, https://cran.r-project.org/web/packages/sClust
Previous versions and publish date:
No previous versions
Other packages that cited sClust R package
View sClust citation profile
Other R packages that sClust depends,
imports, suggests or enhances
Functions, R codes and Examples using
the sClust R package
Some associated functions: HierarchicalClust . HierarchicalSC . MSC . PeronaFreemanSC . ShiMalikSC . UnormalizedSC . VonLuxburgSC . checking.gram.similarityMatrix . compute.kclust . compute.kclust2 . compute.laplacian.NJW . compute.nbCluster.gap . compute.similarity.ZP . compute.similarity.gaussien . fastClustering . fastMSC . kmeansQuantization . recursClust . search.neighboor . spectralPAM .
Some associated R codes: HierarchicalClust.R . HierarchicalSC.R . MSC.R . PeronaFreemanSC.R . ShiMalikSC.R . UnormalizedSC.R . VonLuxburgSC.R . checkingGramSimilarityMatrix.R . computeKclust.R . computeKclust2.R . computeLaplacianNJW.R . computeSimilarity.R . fastClustering.R . fastMSC.R . kmeansQuantization.R . recursClust.R . spectralPAM.R . Full sClust package functions and examples
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