Incremental interval type-2 fuzzy clustering of data streams using single pass method
Data Streams create new challenges for fuzzy clustering algorithms, specifically Interval Type-2 Fuzzy C-Means (IT2FCM). One problem associated with IT2FCM is that it tends to be sensitive to initialization conditions and therefore, fails to return global optima. This problem has been addressed by o...
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| Main Authors: | , , , , |
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| Format: | Article |
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MDPI AG
2020
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086137773&doi=10.3390%2fs20113210&partnerID=40&md5=e4b8b1bedcf18b6f61a909f3ef4c9005 http://eprints.utp.edu.my/23235/ |
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