Laying Chicken Algorithm (LCA) Based For Clustering

Iwan Tri Riyadi Yanto - Information System Department, Universitas Ahmad Dahlan, Yogyakarta, Indonesia
Ririn Setiyowati - Mathematics Department, Universitas Sebelas Maret, Indonesia
Nursyiva Irsalinda - Mathematics Department, Universitas Ahmad Dahlan, Yogyakarta, Indonesia
- Rasyidah - Information Technology Department, Politeknik Negeri Padang, Indonesia
Tri Lestari - Information Technology Department, Politeknik Negeri Padang, Indonesia

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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.


fuzzy clustering; FCM; LCA

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