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Abstract：
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.
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Year： 2006
Page： 22-25
Language： English
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WoS CC Cited Count： 0
SCOPUS Cited Count： 5
ESI Highly Cited Papers on the List： 0 Unfold All
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30 Days PV： 0
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