Colloquium Biometricum (Online)
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Vol:
40
Page:
105
Authors:
Karol Deręgowski
Mirosław Krzyśko
Title:
Nonlinear principal component analysis
Language:
English
Keywords:
nonlinear principal component analysis
kernel functions
Summary:
In this paper, we propose two approaches to the construction of nonlinear principal components. By the use of kernel functions, one can efficiently compute nonlinear principal components in high-dimensional feature space, related to input space by some nonlinear transformation.