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The Possibilistic Gustafson-Kessel Fuzzy Clustering Procedure for Online Data Processing

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成果类型:
期刊论文、会议论文
作者:
Zhengbing Hu;Oleksii K. Tyshchenko
通讯作者:
Tyshchenko, O.K.
作者机构:
[Hu Z.] School of Educational Information Technology, Central China Normal University, 152 Louyu Road, Wuhan, 430079, China
[Tyshchenko O.K.] Institute for Research and Applications of Fuzzy Modeling, CE IT4Innovations, University of Ostrava, 30. dubna 22, Ostrava, 701 03, Czech Republic
通讯机构:
[Tyshchenko, O.K.] I
Institute for Research and Applications of Fuzzy Modeling, 30. dubna 22, Czech Republic
语种:
英文
关键词:
Distance measure;Ellipsoidal cluster;Fuzzifier;Fuzzy clustering;Goal function;Hypersphere;Membership function
期刊:
Advances in Intelligent Systems and Computing
ISSN:
2194-5357
年:
2021
卷:
1247
页码:
419-428
会议名称:
3rd International Conference on Computer Science, Engineering and Education Applications, ICCSEEA 2020
会议论文集名称:
Advances in Computer Science for Engineering and Education III
会议时间:
21 January 2020 through 22 January 2020
主编:
Hu Z.Petoukhov S.Dychka I.He M.
出版者:
Springer
ISBN:
9783030555054
基金类别:
RAMECS and self-determined research funds of CCNU from the colleges’ primary research and operation of MOE (CCNU19TS022) preserved fractionally this experimental effort. Oleksii K. Tyshchenko was additionally maintained by the National Science Agency of the Czech Republic within the project TACR TL01000351.
机构署名:
本校为第一机构
院系归属:
教育信息技术学院
摘要:
The script is engaged in the intricacy of clustering data streams. The advised plan considers the possibilistic fuzzy clustering on the grounds of the Gustafson and Kessel techniques for the case when data should be grouped in the following manner. Another aspect should also be considered, which has to do with the fact that classes possess a random configuration (which cannot typically be classified linearly) and are mutually intersecting. © 2021, The Editor(s) (if applicable) and The Author(s)...

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