Pattern Classification Using Eigenspace Projection
Published • Jul 1, 2012
NobleIDNI3P93W67R42S37
Authors:,,
Chen-Ta Hsieh
Chin‐Chuan Han
Chang-Hsing Lee
Abstract
Covariance matrices play the key role for dimension reduction in eigenspace projection methods for pattern recognition. Two scatters, an intraclass scatter and an interclass scatter, are obtained from samples for describing the sample distributions. The representation for these two scatters is class...
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