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| 关于切换回归的集成模糊聚类算法 GFC |
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王士同1,2, 江海峰2, 陆宏钧2
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1.江南大学,信息学院,江苏,无锡,214036;2.香港科技大学,计算机系,香港
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| 摘要: |
| 已经有多个方法可用于解决切换回归问题.根据所提出的基于Newton引力定理的引力聚类算法GC,结合模糊聚类算法,进一步提出了新的集成模糊聚类算法 GFC.理论分析表明GFC 能收敛到局部最小.实验结果表明GFC在解决切换回归问题时,比标准模糊聚类算法更有效,特别在收敛速度方面. |
| 关键词: 切换回归 模糊聚类 引力聚类 |
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| An Integrated Fuzzy Clustering Algorithm GFC for Switching Regressions |
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WANG Shi-tong,JIANG Hai-feng,LU Hong-jun
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| Abstract: |
| In order to solve switching regression problems, many approaches have been investigated. In this paper, anintegrated fuzzy clustering algorithm GFC that combines gravity-based clustering algorithm GC with fuzzy clustering is presented. GC, as a new hard clustering algorithm presented here, is based on the well-known Newton's Gravity Law. The theoretic analysis shows that GFC can conve rge to a local minimum of the object function. Experimental results show that GFC for switching regression problems has better performance than standard fuzzy clustering algorithms, especially in terms of convergence speed. |
| Key words: switching regression fuzzy clustering gravity-based clustering |
