clustrd: Methods for Joint Dimension Reduction and Clustering
Version 1.1.9

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; ) and reduced K-means (De Soete and Carroll 1994; ); 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; ), i-FCB (Iodice D'Enza and Palumbo 2013, ) and Cluster Correspondence Analysis (van de Velden, Iodice D'Enza and Palumbo 2017; ), which combine multiple correspondence analysis with K-means.

Browse man pages Browse package API and functions Browse package files

AuthorAlfonso Iodice D'Enza [aut], Angelos Markos [aut, cre], Michel van de Velden [ctb]
Date of publication2017-04-24 21:38:44 UTC
MaintainerAngelos Markos <amarkos@gmail.com>
LicenseGPL (>= 2)
Version1.1.9
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("clustrd")

Man pages

clusmca: Joint dimension reduction and clustering of categorical data.
cluspca: Joint dimension reduction and clustering of continuous data.
clusval: Distance-based statistics for cluster quality assessment.
cmc: Contraceptive Choice in Indonesia
hsq: Humor Styles
macro: Economic Indicators of 20 OECD countries for 1999
plot.clusmca: Plotting function for 'clusmca()' output.
plot.cluspca: Plotting function for 'cluspca()' output.
tuneclus: Cluster quality assessment for a range of clusters and...
underwear: South Korean Underwear

Functions

EmptyKmeans Source code
MCAk Source code
clu_means Source code
clusCA Source code
clusmca Man page Source code
cluspca Man page Source code
clusval Man page Source code
cmc Man page
disjMake Source code
ed Source code
hsq Man page
iFCB Source code
macro Man page
multiplot Source code
nrm Source code
orth Source code
outOfIndependence Source code
plot.clusmca Man page Source code
plot.cluspca Man page Source code
print.clusmca Source code
print.cluspca Source code
print.clusval Source code
print.tune_clusmca Source code
print.tune_cluspca Source code
rosplit Source code
ssq Source code
summary.clusmca Source code
summary.cluspca Source code
summary.tune_clusmca Source code
summary.tune_cluspca Source code
tune_clusmca Source code
tune_cluspca Source code
tuneclus Man page Source code
underwear Man page

Files

NAMESPACE
data
data/cmc.rda
data/hsq.rda
data/macro.rda
data/underwear.rda
R
R/cluspca.R
R/summary.clusmca.R
R/orth.r
R/outOfIndependence.r
R/rosplit.r
R/tune_cluspca.R
R/clusval.R
R/EmptyKmeans.r
R/ed.r
R/summary.cluspca.R
R/iFCB.r
R/clusCA.R
R/clu_means.R
R/tuneclus.R
R/summary.tune_clusmca.R
R/clusmca.R
R/multiplot.R
R/summary.tune_cluspca.R
R/tune_clusmca.R
R/print.cluspca.R
R/plot.cluspca.R
R/MCAk.r
R/print.tune_cluspca.R
R/print.clusmca.R
R/disjMake.r
R/print.tune_clusmca.R
R/print.clusval.R
R/nrm.r
R/plot.clusmca.R
MD5
DESCRIPTION
man
man/plot.clusmca.Rd
man/clusmca.Rd
man/plot.cluspca.Rd
man/tuneclus.Rd
man/macro.Rd
man/underwear.Rd
man/clusval.Rd
man/cmc.Rd
man/cluspca.Rd
man/hsq.Rd
clustrd documentation built on May 19, 2017, 11:04 p.m.