Other packages > Find by keyword >

sClust  

R Toolbox for Unsupervised Spectral Clustering
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]
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. Accessed 29 Oct. 2026.
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
Complete documentation for sClust
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA