Looking back at the Gifi system of nonlinear multivariate analysis
Looking back at the Gifi system of nonlinear multivariate analysis
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.
1-8
Van Der Heijden, Peter G.M.
85157917-3b33-4683-81be-713f987fd612
van Buuren, Stef
71952950-c25b-469d-ae53-845134512896
Van Der Heijden, Peter G.M.
85157917-3b33-4683-81be-713f987fd612
van Buuren, Stef
71952950-c25b-469d-ae53-845134512896
Van Der Heijden, Peter G.M. and van Buuren, Stef
(2016)
Looking back at the Gifi system of nonlinear multivariate analysis.
Journal of Statistical Software, 73 (4), .
(doi:10.18637/jss.v073.i04).
Abstract
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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van der Heijden van van Buuren 2016 Journal Statistical Software.pdf
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Accepted/In Press date: 1 June 2016
e-pub ahead of print date: 12 September 2016
Organisations:
Social Statistics & Demography
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Local EPrints ID: 402990
URI: http://eprints.soton.ac.uk/id/eprint/402990
PURE UUID: 774913f2-bacc-4168-ac41-9e520f3a6bb5
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Date deposited: 21 Nov 2016 14:24
Last modified: 15 Mar 2024 03:46
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Stef van Buuren
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