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Kernel and Nonlinear Canonical Correlation Analysis

P. L. Lai, C. Fyfe

2000.10.1International Journal of Neural Systems

DOI: 10.1109/ijcnn.2000.10005

tlooto Summary

A neural implementation of the statistical technique of Canonical Correlation Analysis (CCA) is extended and the method of kernel-based CCA is derived and compared on real and artificial data sets before using both on the Blind Separation of Sources.

Abstract

We review a neural implementation of the statistical technique of Canonical Correlation Analysis (CCA) and extend it to nonlinear CCA. We then derive the method of kernel-based CCA and compare these two methods on real and artificial data sets before using both on the Blind Separation of Sources.

Citation format

LAI, P. L.; FYFE, C. Kernel and nonlinear canonical correlation analysis. International Journal of Neural Systems, 2000, 10 5: 365–77.