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Several dimensionality-reduction techniques based on component analysis (CA) have been suggested for various data stream classification tasks and allow fast approximation. The variations of CA, such as PCA, KPCA and ICA, however, have limited dimensionality-reduction ability because of their high complexity or linear transformation scheme, etc. This paper proposes a fast iterative kernel principal...
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