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: | Lecture Notes in Networks and Systems |
|---|---|
| Main Author: | |
| 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 |