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A Hybrid Neural Network System for Pattern Classification Tasks with Missing Features
April 2005 (vol. 27 no. 4)
pp. 648-653
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.

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Index Terms:
Missing data, Fuzzy ARTMAP, Fuzzy c-Means Clustering, pattern classification.
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 and Machine Intelligence, vol. 27, no. 4, pp. 648-653, April 2005, doi:10.1109/TPAMI.2005.64
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