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...

書誌詳細
出版年:	RECENT ADVANCES ON SOFT COMPUTING AND DATA MINING, SCDM 2024
主要な著者:	Muda, Muhammad Zaiyad; Panoutsos, George
フォーマット:	Proceedings Paper
言語:	English
出版事項:	SPRINGER INTERNATIONAL PUBLISHING AG 2024
主題:	Computer Science
オンライン･アクセス:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001324620600009

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