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...
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查看全部 500 份 →KNN K-nearest neighbor rule for classification
KNN K-nearest neighbor rule for classification
2016-10-30
116
K Nearest Neighbor algorithm Implementation and Overview
K Nearest Neighbor algorithm Implementation and Overview
2014-01-23
121
an introduction about k-nearest neighbor method
an introduction about k-nearest neighbor method
2013-12-02
74