NDLI: A novel random fuzziness clustering with entropy criterion

Content Provider	IEEE Xplore Digital Library
Author	Nianyun Shi Liang Yan Jiuyun Xu Youxiang Duan
Copyright Year	2009
Description	Author affiliation: College of Computer and Communication Engineering, China University of Petroleum(East China), Shandong, China (Nianyun Shi; Liang Yan; Jiuyun Xu; Youxiang Duan)
Abstract	As a newly-proposed clustering algorithm based on random fuzziness model, RFKM has improved performance compared with other fuzzy clustering algorithms. However the low mobility of accuracy will lead to local optimal solution. To solve this problem, we present an Entropy-based FRKM (ERFKM) algorithm. Meanwhile, in order better to facilitate the optimal operation of the ERFKM, this paper applies entropy onto ERFKM to choose a near optimal dominant set. Simulation study indicates that the proposed is effective in clustering and it has improved performance with respect to the original RFKM.
Starting Page	279
Ending Page	283
File Size	168604
Page Count	5
File Format	PDF
ISBN	9781424447541
DOI	10.1109/ICICISYS.2009.5358180
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud theory Uncertainty Clouds Computational modeling Random fuzziness model Educational institutions Entropy Helium Clustering Genetic algorithms RFKM Clustering algorithms Approximation algorithms Mathematical model
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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