基于Hadoop的模糊K-Means算法，在MapReduce框架下编写，经集群测试成功运行。压缩包中包含源码和实验数据-Hadoop-based fuzzy K-Means algorithm, written in the MapReduce framework, through the cluster test run successfully. Compressed package contains the source code and experimental data

Java 实现k-means 聚类算法，分别以迭代次数及分配不再发生变化为算法终止条件，用图片作为数据集，比较运行时间-Java implementation of k-means clustering algorithm, respectively, and the distribution of the number of iterations of the algorithm terminates no change in the conditions, with a picture (o

K-means算法，Java语言实现Iris数据集分类-k-means implement