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 2016; <doi:10.1007/s11336-016-9514-0>), which combine multiple correspondence analysis with K-means.

Version: 1.1.0
Depends: ggplot2, dummies, grid
Imports: corpcor, GGally, fpc, cluster, dplyr, plyr, ggrepel
Published: 2016-12-06
Author: Alfonso Iodice D'Enza [aut], Angelos Markos [aut, cre], Michel van de Velden [ctb]
Maintainer: Angelos Markos <amarkos at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: clustrd results

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Reference manual: clustrd.pdf
Package source: clustrd_1.1.0.tar.gz
Windows binaries: r-devel: clustrd_1.0.9.zip, r-release: clustrd_1.0.9.zip, r-oldrel: clustrd_1.1.0.zip
OS X Mavericks binaries: r-release: clustrd_1.1.0.tgz, r-oldrel: clustrd_1.1.0.tgz
Old sources: clustrd archive

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