Laplacian linear discriminant analysis
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摘要
A novel linear discriminant criterion function is proved to be equal to Fisher's criterion function. The analysis of the function is linked to spectral decomposition of the Laplacian of a graph. Moreover, the function is maximized using two algorithms. Experimental results show the effectiveness and some specific characteristics of our algorithms.
论文关键词：Linear discriminant analysis,Laplacian eigenvalues,Spectral decomposition
论文评审过程：Received 12 May 2005, Accepted 14 June 2005, Available online 22 September 2005.
论文官网地址：https://doi.org/10.1016/j.patcog.2005.06.016
