drclust: Simultaneous Clustering and (or) Dimensionality Reduction (original) (raw)
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" <doi:10.1007/978-3-642-51175-2_24> ; Vichi M. (2001) "Double k-means Clustering for Simultaneous Classification of Objects and Variables" <doi:10.1007/978-3-642-59471-7_6> ; Vichi M., Kiers H.A.L. (2001) "Factorial k-means analysis for two-way data" <doi:10.1016/S0167-9473(00)00064-5> ; Vichi M., Saporta G. (2009) "Clustering and disjoint principal component analysis" <doi:10.1016/j.csda.2008.05.028> ; Vichi M. (2017) "Disjoint factor analysis with cross-loadings" <doi:10.1007/s11634-016-0263-9>.
Version: | 0.1.1 |
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Imports: | Rcpp, RcppArmadillo, fpc, cluster, factoextra, pheatmap |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2025-10-03 |
DOI: | 10.32614/CRAN.package.drclust |
Author: | Ionel Prunila [aut, cre], Maurizio Vichi [aut] |
Maintainer: | Ionel Prunila <ionel.prunila at uniroma1.it> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
CRAN checks: | drclust results |
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