ISSN:
1573-773X
Keywords:
data visualisation
;
projection pursuit
;
independent component analysis
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
Abstract This paper presents a generalisation of the nonlinear 'Infomax' algorithm based on the linear latent variable model of factor analysis. The algorithm is based on an information theoretic index for projection pursuit which defines linear projections of observed data onto subspaces of lower dimension. This is applied to the visualisation and interpretation of complex high dimensional data and is empirically compared with the recently developed Generative Topographic Mapping.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1009613012282
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