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