A Declustering Criterion for Feature Extraction in Pattern Recognition | IEEE Journals & Magazine | IEEE Xplore

A Declustering Criterion for Feature Extraction in Pattern Recognition


Abstract:

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 pac...Show More

Abstract:

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.
Published in: IEEE Transactions on Computers ( Volume: C-27, Issue: 3, March 1978)
Page(s): 261 - 266
Date of Publication: 31 March 1978

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