Package: clustrd 1.4.0

clustrd: Methods for Joint Dimension Reduction and Clustering

A class of methods that combine dimension reduction and clustering of continuous, categorical or mixed-type data (Markos, Iodice D'Enza and van de Velden 2019; <doi:10.18637/jss.v091.i10>). 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. For mixed-type data, it provides mixed Reduced K-means and mixed Factorial K-means (van de Velden, Iodice D'Enza and Markos 2019; <doi:10.1002/wics.1456>), which combine PCA for mixed-type data with K-means.

Authors:Angelos Markos [aut, cre], Alfonso Iodice D'Enza [aut], Michel van de Velden [aut]

clustrd_1.4.0.tar.gz
clustrd_1.4.0.zip(r-4.5)clustrd_1.4.0.zip(r-4.4)clustrd_1.4.0.zip(r-4.3)
clustrd_1.4.0.tgz(r-4.4-any)clustrd_1.4.0.tgz(r-4.3-any)
clustrd_1.4.0.tar.gz(r-4.5-noble)clustrd_1.4.0.tar.gz(r-4.4-noble)
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clustrd.pdf |clustrd.html
clustrd/json (API)

# Install 'clustrd' in R:
install.packages('clustrd', repos = c('https://amarkos.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • bribery - Bribery cases in Russia
  • cmc - Contraceptive Choice in Indonesia
  • diamond - Diamond Stone Pricing
  • hsq - Humor Styles
  • macro - Economic Indicators of 20 OECD countries for 1999
  • mybond - James Bond films

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.51 score 32 scripts 511 downloads 6 exports 64 dependencies

Last updated 2 years agofrom:fa68e5aa78. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winNOTEOct 29 2024
R-4.5-linuxNOTEOct 29 2024
R-4.4-winNOTEOct 29 2024
R-4.4-macNOTEOct 29 2024
R-4.3-winOKOct 29 2024
R-4.3-macOKOct 29 2024

Exports:clusmcacluspcacluspcamixglobal_bootcluslocal_bootclustuneclus

Dependencies:caclasscliclustercolorspacecorpcorcpp11crayonDEoptimRdiptestdplyrfansifarverflexmixforcatsfpcgenericsGGallyggplot2ggrepelggstatsgluegtablehmsisobandkernlablabelinglatticelifecyclemagrittrMASSMatrixmclustmgcvmodeltoolsmunsellnlmennetpatchworkpillarpkgconfigplyrprabclusprettyunitsprogresspurrrR6rARPACKRColorBrewerRcppRcppEigenrlangrobustbaseRSpectrascalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr