Graph embedding and extensions: a general framework for dimensionality reducation

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Paper: Graph embedding and extensions: a general framework for dimensionality reducation

From:Shuicheng Yan 

N多方法来解决降维的方法:有监督和无监督的;统计的、几何理论的。。。

New 降维方法:Marginal Fisher Analysis (MFA) 

                              The intrinsic graph: characterizes the intraclass compactness and connect each data point with itsneighboring points of the same class;

                              The penalty graph: connect the marginal points and characterize the interclassseparability.

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