Local Linear Logistic Discriminant Analysis with Partial Least Square Components
We propose a nonparametric local linear logistic approach based on local likelihood in multi-class discrimination. The combination of the local linear logistic discriminant analysis and partial least square components yields better prediction results than the conventional statistical classifiers in case where the class boundaries have curvature. We applied our method to both synthetic and real data sets.
KeywordsPartial Little Square Linear Discriminant Analysis Quadratic Discriminant Analysis Sequential Forward Selection Partial Little Square Component
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