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| 題名: | Robust Clustering based on Winner-Population Markov Chain |
| 作者: | Yang, Fu-wen;Lin, Hwei-jen;Wang, Patrick, S. P.;Wu, Hung-hsuan |
| 貢獻者: | 淡江大學資訊工程學系 |
| 日期: | 2006-08-20 |
| 上傳時間: | 2010-01-11 12:30:56 (UTC+8) |
| 摘要: | In this paper, we propose an unsupervised genetic clustering algorithm, which produces a new chromosome without any conventional genetic operators, and instead according to the gene reproducing probabilities determined by Markov chain modeling. Selection of cluster centers from the dataset enables construction of a look-up table that saves the distances between all pairs of data points. The experimental results show that the proposed algorithm not only solves the premature problem to provide a more stable clustering performance in terms of number of clusters and clustering results, but also improves the time efficiency |
| 關聯: | Proceedings of the 18th International Conference on Pattern Recognition (ICPR2006), pp.589-592 |
| DOI: | 10.1109/ICPR.2006.1002 |
| 顯示於類別: | [資訊工程學系暨研究所] 會議論文
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