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: | 1.2.0 |
Depends: | ggplot2, dummies, grid |
Imports: | corpcor, GGally, fpc, cluster, dplyr, plyr, ggrepel, ca, stats |
Published: | 2017-05-29 |
Author: | Angelos Markos [aut, cre], Alfonso Iodice D'Enza [aut], 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 |
Reference manual: | clustrd.pdf |
Package source: | clustrd_1.2.0.tar.gz |
Windows binaries: | r-devel: clustrd_1.2.0.zip, r-release: clustrd_1.2.0.zip, r-oldrel: clustrd_1.2.0.zip |
OS X El Capitan binaries: | r-release: clustrd_1.2.0.tgz |
OS X Mavericks binaries: | r-oldrel: clustrd_1.2.0.tgz |
Old sources: | clustrd archive |
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