Package: clustrd
Type: Package
Title: Methods for Joint Dimension Reduction and Clustering
Description: 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.
Version: 1.4.0
Date: 2022-07-16
Author: Angelos Markos [aut, cre], Alfonso Iodice D'Enza [aut], Michel
        van de Velden [aut]
Maintainer: Angelos Markos <amarkos@gmail.com>
Depends: ggplot2, grid
Imports: rARPACK, tibble, corpcor, GGally, fpc, cluster, dplyr, plyr,
        ggrepel, ca, stats
License: GPL-3
NeedsCompilation: no
Packaged: 2026-09-22 07:25:35 UTC; root
Config/pak/sysreqs: libicu-dev libssl-dev
Repository: https://amarkos.r-universe.dev
Date/Publication: 2022-07-16 22:20:06 UTC
RemoteUrl: https://github.com/cran/clustrd
RemoteRef: HEAD
RemoteSha: fa68e5aa78bbda8661a1f0f0739dfa291166aa59