Model-based mixture discriminant analysis—an experimental study
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摘要
The subject of this paper is an experimental study of a discriminant analysis (DA) based on Gaussian mixture estimation of the class-conditional densities. Five parameterizations of the covariance matrixes of the Gaussian components are studied. Recommendation for selection of the suitable parameterization of the covariance matrixes is given.
论文关键词：Discriminant analysis,Gaussian mixture model,Density estimation,Model selection
论文评审过程：Received 27 July 2004, Accepted 12 August 2004, Available online 16 November 2004.
论文官网地址：https://doi.org/10.1016/j.patcog.2004.08.010
