clustrd (1.3.2)

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Methods for Joint Dimension Reduction and Clustering.

A class of methods that combine dimension reduction and clustering of continuous, categorical or mixed-type data. For continuous data, the package contains implementations of factorial K-means (Vichi and Kiers 2001; ) and reduced K-means (De Soete and Carroll 1994; ); 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; ), i-FCB (Iodice D'Enza and Palumbo 2013, ) and Cluster Correspondence Analysis (van de Velden, Iodice D'Enza and Palumbo 2017; ), 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; ), which combine PCA for mixed-type data with K-means.

Maintainer: Angelos Markos
Author(s): Angelos Markos [aut, cre], Alfonso Iodice D'Enza [aut], Michel van de Velden [ctb]

License: GPL (>= 2)

Uses: ca, cluster, corpcor, dplyr, dummies, fpc, GGally, ggplot2, ggrepel, plyr, rARPACK, tibble

Released 12 days ago.

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