Feature selection based on the approximation of class densities by finite mixtures of special type

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摘要

A new method of feature selection based on the approximation of class conditional densities by a mixture of parameterized densities of a special type, suitable especially for multimodal data, is presented. No search procedure is needed when using the proposed method. Its performance is tested both on real simulated data.

论文关键词:Feature selection,Feature ordering,Mixture distribution,Maximum likelihood,EM algorithm

论文评审过程:Author links open overlay panelP.PudilJ.Novovičová∗N.ChoakjarernwanitJ.Kittler

论文官网地址:https://doi.org/10.1016/0031-3203(94)00009-B