clustrd: Methods for Joint Dimension Reduction and Clustering
Version 1.2.0

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; ) 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.

Getting started

Package details

AuthorAngelos Markos [aut, cre], Alfonso Iodice D'Enza [aut], Michel van de Velden [ctb]
Date of publication2017-05-29 21:26:32 UTC
MaintainerAngelos Markos <amarkos@gmail.com>
LicenseGPL (>= 2)
Version1.2.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("clustrd")

Try the clustrd package in your browser

Any scripts or data that you put into this service are public.

clustrd documentation built on May 31, 2017, 5:17 a.m.