spark平台scala语言自己实现的kmeans算法,相比于MLlib的Kmeans更简单,更容易看懂,代码量少注释多

上传者: vaq37942 | 上传时间: 2019-12-21 21:32:06 | 文件大小: 81KB | 文件类型: rar
不到一百行的代码教你在spark平台中使用scala实现kmeans算法。简单易懂,大量注释。适合初学者参考理解。本程序在intelliJ IDEA2016.1.1 中编程,运行在spark1.6.1 scala2.10.4本地模式下运行成功。 数据集:(其实‘,’前面的1.0 0.0没用,不过不能删除,除非你修改代码中的数据解析代码) 1.0,0.0 1.1 0.1 0.0,2.0 1.0 -1.0 0.0,2.0 1.3 1.0 1.0,0.0 1.2 -0.5 1.0,1.0 1.4 0.8 1.0,0.3 1.5 1.1 0.0,2.1 1.0 -1.0 0.0,1.0 2.3 1.3 1.0,0.2 0.2 -1.5 1.0,1.0 1.4 2.8

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评论信息

  • duzhenxi7 :
    OK的吧!!
    2018-08-19
  • duzhenxi7 :
    OK的吧!!
    2018-08-19
  • zyh_159 :
    还不错,赞赞
    2017-11-16
  • ZYH_159 :
    还不错,赞赞
    2017-11-16
  • qiaotinger :
    yibanbana 也就那样
    2016-12-14
  • 老乔家大哥 :
    yibanbana 也就那样
    2016-12-14
  • yqiang777 :
    还不错,看的挺明白的
    2016-11-28
  • yqiang777 :
    还不错,看的挺明白的
    2016-11-28

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