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.

AuthorAlfonso Iodice D'Enza [aut], Angelos Markos [aut, cre], Michel van de Velden [ctb]
Date of publication2016-12-06 18:27:21
MaintainerAngelos Markos <amarkos@gmail.com>
LicenseGPL (>= 2)
Version1.1.0

View on CRAN

Files

clustrd
clustrd/NAMESPACE
clustrd/data
clustrd/data/cmc.rda
clustrd/data/hsq.rda
clustrd/data/macro.rda
clustrd/data/underwear.rda
clustrd/R
clustrd/R/cluspca.R
clustrd/R/orth.r
clustrd/R/outOfIndependence.r
clustrd/R/rosplit.r
clustrd/R/tune_cluspca.R clustrd/R/clusval.R
clustrd/R/EmptyKmeans.r
clustrd/R/ed.r
clustrd/R/iFCB.r
clustrd/R/clusCA.R clustrd/R/clu_means.R clustrd/R/clusmca.R clustrd/R/multiplot.R clustrd/R/tune_clusmca.R clustrd/R/plot.cluspca.R
clustrd/R/MCAk.r
clustrd/R/disjMake.r
clustrd/R/nrm.r
clustrd/R/plot.clusmca.R
clustrd/MD5
clustrd/DESCRIPTION
clustrd/man
clustrd/man/plot.clusmca.Rd clustrd/man/clusmca.Rd clustrd/man/plot.cluspca.Rd clustrd/man/tune_cluspca.Rd clustrd/man/macro.Rd clustrd/man/tune_clusmca.Rd clustrd/man/underwear.Rd clustrd/man/clusval.Rd clustrd/man/cmc.Rd clustrd/man/cluspca.Rd clustrd/man/hsq.Rd

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