A method of nonlinear manifold classification using ISOMAP - 文章详情页

作者：

Wu, Lifang (Wu, Lifang.) (学者：毋立芳) | Wei, Ning (Wei, Ning.) | Wang, Juanjuan (Wang, Juanjuan.) | Guo, Yue (Guo, Yue.)

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摘要：

In　this　paper,　a　new　nonlinear　classification　algorithm　is　proposed　using　Isomap　(ISOmetric　feature　MAPping).　First,　nonlinear　dimensionality　reduction　algorithm　is　implemented　using　Isomap;　then　nonlinear　mapping　matrix　is　approximated　by　local　linear　mapping;　next　dimensionality　reduction　for　all　data　sets　is　implemented　by　local　linear　mapping;　finally　linear　classification　is　implemented.　Experimental　results　confirm　the　efficiency　of　proposed　algorithm.　©　2006　IEEE.

关键词：

Mapping Dimensionality reduction Classification (of information)

作者机构：

[ 1 ] [Wu, Lifang]School of Electronic Information and Control Engineering, Beijing University of Technology
[ 2 ] [Wei, Ning]School of Electronic Information and Control Engineering, Beijing University of Technology
[ 3 ] [Wang, Juanjuan]School of Electronic Information and Control Engineering, Beijing University of Technology
[ 4 ] [Guo, Yue]School of Electronic Information and Control Engineering, Beijing University of Technology

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