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A Declustering Criterion for Feature Extraction in Pattern Recognition

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2 Author(s)
Fehlauer, John ; Drexel University ; Eisenstein, B.

A feature extraction technique based on a new criterion for "declustering" is presented. Declustering occurs when sample vectors from one pattern class form a densely packed point constellation, or cluster, in feature space while vectors from another class do not form a cluster but instead array themselves as outliers. Features chosen to optimize the declustering criterion enhance class separation and are robust over a wide range of measurement statistics.

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Computers, IEEE Transactions on  (Volume:C-27 ,  Issue: 3 )