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ASME Press Select Proceedings
International Conference on Computer Research and Development, 5th (ICCRD 2013)Available to Purchase
Editor
ISBN:
9780791860182
No. of Pages:
278
Publisher:
ASME Press
Publication date:
2013
eBook Chapter
14 Fuzzy-Based Firefly Algotithm for Data Clustering Available to Purchase
Page Count:
6
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Published:2013
Citation
Jitpakdee, P, Aimmanee, P, Uyyanonvara, B, & Ritthipakdee, A. "Fuzzy-Based Firefly Algotithm for Data Clustering." International Conference on Computer Research and Development, 5th (ICCRD 2013). Ed. Yama, F. ASME Press, 2013.
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Firefly algorithm is a swarm-based algorithm that can be used for solving optimization problems. In this paper, the methodology of fuzzy c-means algorithm is incorporated into the original firefly algorithm to improve the performance. Six popular benchmark data sets from the UCI machine learning repository are used to test this technique.The experimental results showed that the proposed algorithm surpasses both the base-line technique k-means clustering and original fuzzy c-mean.
1. Introduction
2. Firefly Algorithm
3. Fuzzy c-means Clustering
4. Proposed Clustering Algorithm
5. Experimental Results
6. Conclusion
Acknowledgment
References
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