Local linear logistic discriminant analysis with partial least square components

Authors:
Jangsun Baek;Young Sook Son
Affiliations:
Department of Statistics, Chonnam National University, Gwangju, South Korea;Department of Statistics, Chonnam National University, Gwangju, South Korea
Venue:
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Year:
2006

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Abstract

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.