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Laplacian linear discriminant analysis
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DOI：10.1016/j.patcog.2005.06.016.png)
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摘要
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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. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Keyword:
linear discriminant analysis
Laplacian eigenvalues
spectral decomposition
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期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
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