clustrd: Methods for Joint Dimension Reduction and Clustering

A class of methods that combine dimension reduction and clustering of continuous or categorical data. For continuous data, the package contains implementations of factorial K-means (Vichi and Kiers 2001; <doi:10.1016/S0167-9473(00)00064-5>) and reduced K-means (De Soete and Carroll 1994; <doi:10.1007/978-3-642-51175-2_24>); both methods that combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means (Hwang, Dillon and Takane 2006; <doi:10.1007/s11336-004-1173-x>), i-FCB (Iodice D'Enza and Palumbo 2013, <doi:10.1007/s00180-012-0329-x>) and Cluster Correspondence Analysis (van de Velden, Iodice D'Enza and Palumbo 2017; <doi:10.1007/s11336-016-9514-0>), which combine multiple correspondence analysis with K-means.

Version: 1.2.2
Depends: ggplot2, dummies, grid
Imports: corpcor, GGally, fpc, cluster, dplyr, plyr, ggrepel, ca, stats
Published: 2018-05-03
Author: Angelos Markos [aut, cre], Alfonso Iodice D'Enza [aut], Michel van de Velden [ctb]
Maintainer: Angelos Markos <amarkos at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: clustrd results


Reference manual: clustrd.pdf
Package source: clustrd_1.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: clustrd_1.2.2.tgz, r-oldrel: clustrd_1.2.2.tgz
Old sources: clustrd archive


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