Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Angelos Markos, Alfonso Iodice D'Enza, Michel van de Velden
Title: Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R
Abstract: We present the R package clustrd which implements a class of methods that combine dimension reduction and clustering of continuous or categorical data. In particular, for continuous data, the package contains implementations of factorial K-means and reduced K-means; both methods combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means, i-FCB and cluster correspondence analysis, which combine multiple correspondence analysis with K-means. Two examples on real data sets are provided to illustrate the usage of the main functions.

Page views:: 491. Submitted: 2016-11-01. Published: 2019-10-31.
Paper: Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R     Download PDF (Downloads: 136)
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clustrd_1.3.6-2.tar.gz: R source package Download (Downloads: 13; 84KB)
v91i10.R: R replication code Download (Downloads: 16; 1KB)

DOI: 10.18637/jss.v091.i10

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