@inproceedings{f2eb4d6511a6433b866f1d5d0dafeb9f,
title = "A fuzzy classifier with adaptive learning of norm inducing matrix",
abstract = "A fuzzy classifier with adaptive learning of the volume of norm inducing matrix is proposed in this paper. The proposed fuzzy classifier improves the Gustafson-Kessel (GK) algorithm which assumes a fixed volume of the norm inducing matrix. An efficient approach based on gradient descent learning is proposed to recursively update the volume of norm inducing matrix. Mathematical analyses and computer simulations are made to show the effectiveness and efficiency of the proposed fuzzy classifier.",
keywords = "Decision region, Fuzzy c means, Fuzzy classifier, Pattern recognition",
author = "Tze Yang and Leehter Yao",
year = "2007",
doi = "10.1109/ICNSC.2007.372806",
language = "???core.languages.en\_GB???",
isbn = "1424410762",
series = "2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07",
pages = "362--367",
booktitle = "2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07",
note = "2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07 ; Conference date: 15-04-2007 Through 17-04-2007",
}