Laying Chicken Algorithm (LCA) Based For Clustering
Numerous research and related applications of fuzzy clustering are still interesting and important. In this paper, Fuzzy C-Means (FCM) and Laying Chicken Algorithm (LCA) were modified to improve local optimum of Fuzzy Clustering presented by using UCI dataset. In this study, the proposed FCMLCA perf...
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| Main Authors: | , , , , |
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| Format: | EJournal Article |
| Published: |
Politeknik Negeri Padang,
2020-12-18.
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| Subjects: | |
| Online Access: | Get Fulltext |
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| Summary: | Numerous research and related applications of fuzzy clustering are still interesting and important. In this paper, Fuzzy C-Means (FCM) and Laying Chicken Algorithm (LCA) were modified to improve local optimum of Fuzzy Clustering presented by using UCI dataset. In this study, the proposed FCMLCA performance was also compared to baseline technique based on CSO methods. The simulation results indicate that the FCMLCA method have better performance than the compared methods. |
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| Item Description: | https://joiv.org/index.php/joiv/article/view/467 |