clustrd: Methods for Joint Dimension Reduction and Clustering

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; <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.

Getting started

Package details

AuthorAngelos Markos [aut, cre], Alfonso Iodice D'Enza [aut], Michel van de Velden [ctb]
MaintainerAngelos Markos <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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clustrd documentation built on May 4, 2018, 1:05 a.m.