Graph embedding and extensions: a general framework for dimensionality reducation
2014-01-04 10:50
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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 its
neighboring points of the same class;
The penalty graph: connect the marginal points and characterize the interclass
separability.
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 its
neighboring points of the same class;
The penalty graph: connect the marginal points and characterize the interclass
separability.
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