RSKC: An R Package for a Robust and Sparse K-Means Clustering Algorithm

RSKC: An R Package for a Robust and Sparse K-Means Clustering Algorithm

Witten and Tibshirani (2010) proposed an algorithim to simultaneously find clusters and select clustering variables, called sparse K-means (SK-means). SK-means is particularly useful when the dataset has a large fraction of noise variables (that is, variables without useful information to separate t...

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Bibliographic Details
Main Authors: Yumi Kondo, Matias Salibian-Barrera, Ruben Zamar
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2016-08-01
Series:Journal of Statistical Software
Subjects:
K-means
robust clustering
sparse clustering
trimmed K-means
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2816

Internet

https://www.jstatsoft.org/index.php/jss/article/view/2816

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