Unsupervised feature selection using a neuro-fuzzy approach

Pattern Recognition Letters

Volumn 19, Issue 11, 1998, Pages 997-1006

  Basak, Jayanta ^a   De, Rajat K ^a   Pal, Sankar K ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; FUZZY SETS; NEURAL NETWORKS;

NEURO-FUZZY METHODOLOGY;

PATTERN RECOGNITION;

EID: 0032155316     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(98)00083-X     Document Type: Article

References (10)

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3. Pal, S.K., Chakraborty, B., 1986. Fuzzy set theoretic measures for automatic feature evaluation. IEEE Trans, on Systems, Man and Cybernetics 16, 754-760.
4. Priddy, K.L., Rogers, S.K., Ruck, D.W., Tarr, G.L., Kabrisky, M., 1993. Bayesian selection of important features for feedforward neural networks. Neurocomputing 5, 91-103.
5. Steppe, J.M., Bauer Jr., K.W., 1996. Improved feature screening in feedforward neural networks. Neurocomputing 13, 47-58.
6. De, R.K., Pal, N.R., Pal, S.K., 1997. Feature analysis: neural network and fuzzy set theoretic approaches. Pattern Recognition 30, 1579-1590.
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8. Pal, S.K., Dutta Majumder, D., 1986. Fuzzy Mathematical Approach to Pattern Recognition. Wiley (Halsted Press), New York.
9. Fisher, R.A., 1936. The use of multiple measurements in taxonomic problems. Annals of Eugenics 7, 179-188.
10. Hayashi, Y., 1991. A neural expert system with automated extraction of fuzzy if-then rules and its application to medical diagnosis. In: Lippmann, R.P., Moody, J.E., Touretzky, D.S (Eds.), Advances in Neural Information Processing Systems. Morgan Kaufmann, Los Altos, pp. 578-584.