文献
J-GLOBAL ID:201802218671098884
整理番号:18A1894577
形態学的再構成とメンバシップフィルタリングに基づく有意に高速でロバストなファジィc平均クラスタリングアルゴリズム【JST・京大機械翻訳】
Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering
著者 (6件):
Lei Tao
(College of Electronical and Information Engineering, Shaanxi University of Science and Technology, Xi’an, China)
,
Jia Xiaohong
(College of Electronical and Information Engineering, Shaanxi University of Science and Technology, Xi’an, China)
,
Zhang Yanning
(School of Computer Science, Northwestern Polytechnical University, Xi’an, China)
,
He Lifeng
(College of Electronical and Information Engineering, Shaanxi University of Science and Technology, Xi’an, China)
,
Meng Hongying
(Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, Middlesex, U.K.)
,
Nandi Asoke K.
(Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, Middlesex, U.K.)
資料名:
IEEE Transactions on Fuzzy Systems
(IEEE Transactions on Fuzzy Systems)
巻:
26
号:
5
ページ:
3027-3041
発行年:
2018年
JST資料番号:
W0509A
ISSN:
1063-6706
CODEN:
IEFSEV
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)