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Issue No.04 - April (2005 vol.27)
pp: 648-653
ABSTRACT
A hybrid neural network comprising Fuzzy ARTMAP and Fuzzy C--Means Clustering is proposed for pattern classification with incomplete training and test data. Two benchmark problems and a real medical pattern classification task are employed to evaluate the effectiveness of the hybrid network. The results are analyzed and compared with those from other methods.
INDEX TERMS
Missing data, Fuzzy ARTMAP, Fuzzy c-Means Clustering, pattern classification.
CITATION
Chee-Peng Lim, Jenn-Hwai Leong, Mei-Ming Kuan, "A Hybrid Neural Network System for Pattern Classification Tasks with Missing Features", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.27, no. 4, pp. 648-653, April 2005, doi:10.1109/TPAMI.2005.64
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