Study on Dynamic Fuzzy Clustering and the Best Effect of Clustering

Dong-sheng Zhang, Chao Ji
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引用次数: 1

Abstract

Aim at fuzzy clustering method based on transitive closure, the result of λ-level-set is arbitrary. To avoid the wrong clustering result causing by improper λ value, one scheme is presented, which makes use of dynamic clustering method to get all meaningful possibility of clustering, and then compares inner-class distance and inter-class distance respectively, and introduces F test method using in mathematical statistics to decide the best clustering scheme. Simulation result shows that the way is concise, effective and credible.
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动态模糊聚类及最佳聚类效果研究
针对基于传递闭包的模糊聚类方法,λ水平集的聚类结果是任意的。为了避免λ值不合适导致聚类结果错误,提出了一种利用动态聚类方法得到所有有意义的聚类可能性的方案,然后分别比较类内距离和类间距离,并引入数理统计中的F检验方法来确定最佳聚类方案。仿真结果表明,该方法简洁、有效、可靠。
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