Title :
Dimension reduction issues in classification applications
Author :
Fargues, Monique P. ; Duzenli, Ozhan
Author_Institution :
Dept. of Electr. & Comput. Eng., Naval Postgraduate Sch., Monterey, CA, USA
Abstract :
A simple type of projection pursuit scheme is discussed and applied to classification applications. The proposed scheme is used to significantly reduce the number of class features obtained from the wavelet packet decomposition of the signals to be classified. Results show this scheme can be used to classify underwater data without significant loss of performance.
Keywords :
feature extraction; neural nets; signal classification; wavelet transforms; dimension reduction; feature extraction; mean separator neural network; projection pursuit; signal classification applications; underwater data; wavelet packet signal decomposition; Data mining; Feature extraction; Iterative algorithms; Neural networks; Particle separators; Performance loss; Signal design; Wavelet packets;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.751610
