Fuzzified Even-Sized Clustering Based on Optimization
Clustering is a method of data analysis without the use of supervised data. Even-sized clustering based on optimization (ECBO) is a clustering algorithm that focuses on cluster size with the constraints that cluster sizes must be the same. However, this constraints makes ECBO inconvenient to apply i...
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| Veröffentlicht in: | Journal of advanced computational intelligence and intelligent informatics Jg. 22; H. 4; S. 537 - 543 |
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| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
20.07.2018
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| ISSN: | 1343-0130, 1883-8014 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | Clustering is a method of data analysis without the use of supervised data. Even-sized clustering based on optimization (ECBO) is a clustering algorithm that focuses on cluster size with the constraints that cluster sizes must be the same. However, this constraints makes ECBO inconvenient to apply in cases where a certain margin of cluster size is allowed. It is believed that this issue can be overcome by applying a fuzzy clustering method. Fuzzy clustering can represent the membership of data to clusters more flexible. In this paper, we propose a new even-sized clustering algorithm based on fuzzy clustering and verify its effectiveness through numerical examples. |
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| ISSN: | 1343-0130 1883-8014 |
| DOI: | 10.20965/jaciii.2018.p0537 |