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hadoop_kmeans

kmeans achieved by hadoop apis

基于MapReduce的KMeans算法流程如下：

  1. 随机分配簇，初始化中心点，存入HDFS。
  2. Mapper中读取数据文件中的每条数据并与中心点进行距离计算，输出key为最近的中心点序号。
  3. Reducer中进行归并，计算新的中心点，存入新的中心文件。
  4. 判断停机条件，不满足则复制新的中心文件到原中心文件，重复2，3步骤。
  5. 输出聚类结果，包括数据点信息与对应簇序号。

项目说明：基于MapReduce实现的Kmeans算法

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