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RSKC  

Robust Sparse K-Means
View on CRAN: Click here


Download and install RSKC package within the R console
Install from CRAN:
install.packages("RSKC")

Install from Github:
library("remotes")
install_github("cran/RSKC")

Install by package version:
library("remotes")
install_version("RSKC", "2.4.2")



Attach the package and use:
library("RSKC")
Maintained by
Yumi Kondo
[Scholar Profile | Author Map]
First Published: 2011-11-03
Latest Update: 2016-08-28
Description:
This RSKC package contains a function RSKC which runs the robust sparse K-means clustering algorithm.
How to cite:
Yumi Kondo (2011). RSKC: Robust Sparse K-Means. R package version 2.4.2, https://cran.r-project.org/web/packages/RSKC. Accessed 10 Apr. 2025.
Previous versions and publish date:
1.0 (2011-11-03 07:50), 2.0 (2013-01-11 07:46), 2.1 (2013-02-14 07:39), 2.2 (2013-02-27 07:31), 2.3 (2013-04-03 22:54), 2.4.1 (2014-06-15 07:33), 2.4 (2014-04-29 09:23)
Other packages that cited RSKC R package
View RSKC citation profile
Other R packages that RSKC depends, imports, suggests or enhances
Complete documentation for RSKC
Functions, R codes and Examples using the RSKC R package
Some associated functions: CER . Clest . DBWorld . RSKC-internal . RSKC . condProb . mfeat . optdigit . revisedsil . 
Some associated R codes: CER.R . Clest-base.R . Clest.R . Print-rskc.R . RSKC-main.R . RSKC-step-a1.R . RSKC-step-a2.R . RSKC-step-b.R . RSKC-steps-a1-a2-b-missing.R . RSKC-steps-a1-a2-b.R . Revised-silhouette.R . zzz.R .  Full RSKC package functions and examples
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