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《Nuclear Electronics & Detection Technology》 2008-02
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Pattern Recognition of Underground Nuclear Explosions and Natural Earthquakes Based on Isomap

QI Wei,LI Xi-hai,LIU Dai-zhi(The Second Artillery Institute of Engineering,Xi'an,710025)  
Feature selection is a very important and difficult problem in pattern recognition of underground nuclear explosions and natural earthquakes.To solve this problem,a new nonlinear dimensionality reduction method of Isomap is applied in this paper,and it is also compared with PCA method by experiments.The result shows that,Isomap effectively reduces the dimensions of the feature space and retains almost all of the information in the raw data(feature space),and consequently obtains higher recognition rate than PCA.
【CateGory Index】: O242.1
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