An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification-Reference-Cited by-同舟云学术

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An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification

Published:2008-01 Issue:4-6 Volume:71 Page:1008-1021
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Xing Hong-Jie,Hu Bao-Gang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference42 articles.

1. J.C. Bezdek, Fuzzy mathematics in pattern classification, Ph.D. Thesis, Applied Mathematics Center, Cornell University, Ithaca, 1973.

2. Pattern Recognition with Fuzzy Objective Function Algorithm;Bezdek,1981

3. Some new indexes of cluster validity;Bezdek;IEEE Trans. Syst. Man Cybern. B,1998

4. Neural Networks for Pattern Recognition;Bishop,1995

5. Combining labeled and unlabeled data with co-training;Blum,1998

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