Overlapping Granular Clustering: Application in Fuzzy Rule-Based Classification

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Overlapping Granular Clustering: Application in Fuzzy Rule-Based Classification

A clustering technique often aims to create a number of disjoint clusters or granules, in which an element or instance is only permitted to belong to one cluster. However, the majority of real-world data sets have information that overlaps, causing specific data objects or patterns to belong to mult...

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Bibliographic Details
Published in:	Lecture Notes in Networks and Systems
Main Author:	Muda M.Z.; Panoutsos G.
Format:	Conference paper
Language:	English
Published:	Springer Science and Business Media Deutschland GmbH 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200952257&doi=10.1007%2f978-3-031-66965-1_9&partnerID=40&md5=af0f2ebfe90bd33848564bda546a1f65

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