Tools for Exploring Multivariate Data: The Package ICS

Klaus Nordhausen, Hannu Oja and David E. Tyler

Journal of Statistical Software, 2008, vol. 028, issue i06

Abstract: Invariant coordinate selection (ICS) has recently been introduced as a method for exploring multivariate data. It includes as a special case a method for recovering the unmixing matrix in independent components analysis (ICA). It also serves as a basis for classes of multivariate nonparametric tests, and as a tool in cluster analysis or blind discrimination. The aim of this paper is to briefly explain the (ICS) method and to illustrate how various applications can be implemented using the R package ICS. Several examples are used to show how the ICS method and ICS package can be used in analyzing a multivariate data set.

Date: 2008-11-10
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:028:i06

DOI: 10.18637/jss.v028.i06

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