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自适应的模糊C均值聚类算法
Adaptive fuzzy C-means clustering algorithm
【摘要】 针对模糊C均值聚类算法对聚类数预先不可知的缺陷,提出了自适应的模糊C均值聚类算法,该算法利用已有的有效性函数自动确定聚类数目,继而进行模糊聚类.实验表明,该方法无须人工的干预,并且具有良好的有效性和可行性.
【Abstract】 Fuzzy C-means algorithm requires the user to predefine the number of clusters(C);however,it is not always possible to know C a priori.Aiming at above problem,we propose the adaptive fuzzy C-means clustering algorithm,which use the previous cluster validity index to find the number of clusters.Testing of the proposed algorithm shows the superior effectiveness and feasibility without manual intervention.
- 【文献出处】 吉林化工学院学报 ,Journal of Jilin Institute of Chemical Technology , 编辑部邮箱 ,2008年02期
- 【分类号】TP18
- 【被引频次】15
- 【下载频次】413