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...
| Published in: | RECENT ADVANCES ON SOFT COMPUTING AND DATA MINING, SCDM 2024 |
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| Main Authors: | , , |
| Format: | Proceedings Paper |
| Language: | English |
| Published: |
SPRINGER INTERNATIONAL PUBLISHING AG
2024
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001324620600009 |