Simultaneous Clustering and (or) Dimensionality Reduction

Methods for simultaneous clustering and dimensionality reduction such as: Double k-means, Reduced k-means, Factorial k-means, Clustering with Disjoint PCA but also methods for exclusively dimensionality reduction: Disjoint PCA, Disjoint FA. The statistical methods implemented refer to the following articles: de Soete G., Carroll J. (1994) "K-means clustering in a low-dimensional Euclidean space" ; Vichi M. (2001) "Double k-means Clustering for Simultaneous Classification of Objects and Variables" ; Vichi M., Kiers H.A.L. (2001) "Factorial k-means analysis for two-way data" ; Vichi M., Saporta G. (2009) "Clustering and disjoint principal component analysis" ; Vichi M. (2017) "Disjoint factor analysis with cross-loadings" .


Reference manual

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install.packages("drclust")

0.1.1 by Ionel Prunila, a year ago


Browse source code at https://github.com/cran/drclust


Authors: Ionel Prunila [aut, cre] , Maurizio Vichi [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports Rcpp, RcppArmadillo, fpc, cluster, factoextra, pheatmap

Linking to Rcpp, RcppArmadillo


Suggested by Silhouette.


See at CRAN