K-Means
k均值聚类算法（k-meansclusteringalgorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。每分配...
K-Means 全部资料 113 份
This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS
This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS...
This directory contains code implementing the K-means algorithm using min-max distance.
This directory contains code implementing the K-means algorithm using min-max distance....
My version of k-means function. Improved so that there are no empty clusters after segmentation.
My version of k-means function. Improved so that there are no empty clusters after segmentation....
This directory contains code implementing the K-means algorithm. Source codemay be found in KMEANS.C
This directory contains code implementing the K-means algorithm. Source codemay be found in KMEANS.C...