CRAN/E | clustrd

clustrd

Methods for Joint Dimension Reduction and Clustering

Installation

About

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.

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Key Metrics

Version 1.4.0
Published 2022-07-16 621 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Angelos Markos

amarkos@gmail.com

Authors

Angelos Markos

aut / cre

Alfonso Iodice D'Enza

aut

Michel van de Velden

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

clustrd archive

Depends

ggplot2
grid

Imports

rARPACK
tibble
corpcor
GGally
fpc
cluster
dplyr
plyr
ggrepel
ca
stats

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