Looking Back at the Gifi System of Nonlinear Multivariate Analysis
Author(s) -
P.G.M. van der Heijden,
Stef van Buuren
Publication year - 2016
Publication title -
journal of statistical software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.636
H-Index - 145
ISSN - 1548-7660
DOI - 10.18637/jss.v073.i04
Subject(s) - multivariate statistics , multivariate analysis , nonlinear system , homogeneity (statistics) , computer science , data mining , mathematics education , machine learning , mathematics , physics , quantum mechanics
Gifi was the nom de plume for a group of researchers led by Jan de Leeuw at the University of Leiden. Between 1970 and 1990 the group produced a stream of theoretical papers and computer programs in the area of nonlinear multivariate analysis that were very innovative. In an informal way this paper discusses the so-called Gifi system of nonlinear multivariate analysis, that entails homogeneity analysis (which is closely related to multiple correspondence analysis) and generalizations. The history is discussed, giving attention to the scientific philosophy of this group, and links to machine learning are indicated.
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