DEA-Based Piecewise Linear Discriminant Analysis |
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Authors: | Ai-bing Ji Ye Ji Yanhua Qiao |
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Affiliation: | 1.College of Public Health,Hebei University,Baoding,People’s Republic of China;2.Moody Analytics Company,Beijing,China |
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Abstract: | Nonlinear classification models have better classification performance than the linear classifiers. However, for many nonlinear classification problems, piecewise-linear discriminant functions can approximate nonlinear discriminant functions. In this study, we combine the algorithm of data envelopment analysis (DEA) with classification information, and propose a novel DEA-based classifier to construct a piecewise-linear discriminant function, in this classifier, the nonnegative conditions of DEA model are loosed and class information is added; Finally, experiments are performed using a UCI data set to demonstrate the accuracy and efficiency of the proposed model. |
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