文件名称:cskmeans
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k均值聚类 算法接受参数 k ;然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足:同一聚类中的对象相似度较高;而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个"中心对象"(引力中心)来进行计算的。(kmeans cluster K means clustering algorithm accepts parameters K; N data object classification and the previously input for K clustering in order to make the cluster available to meet the same object: high similarity clustering; and different clustering objects in lower similarity. The clustering similarity is calculated by using a central object (gravity center) obtained from the mean value of objects in each cluster.)
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cskmeans.m