This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
March 1978 (vol. 27 no. 3)
pp. 261-266
J. Fehlauer, Drexel University
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.
Index Terms:
Rayleigh quotients, Clustering, feature extraction, linear transformation, nonparametric classification, pattern recognition, principal component analysis
Citation:
J. Fehlauer, B.A. Eisenstein, "A Declustering Criterion for Feature Extraction in Pattern Recognition," IEEE Transactions on Computers, vol. 27, no. 3, pp. 261-266, March 1978, doi:10.1109/TC.1978.1675083
Usage of this product signifies your acceptance of the Terms of Use.