Parallel implementation of K-Means clustering algorithm based on mapReduce computing model of hadoop

@inproceedings{Xu2015ParallelIO,
  title={Parallel implementation of K-Means clustering algorithm based on mapReduce computing model of hadoop},
  author={Hongbo Xu and Nianmin Yao and Qilong Han and Haiwei Pan},
  year={2015}
}
In recent years, data clustering has been studied extensively and a lot of methods and theories have been achieved. However, with the development of the database and the popularity of Internet, a lot of new challenges such as Big Data and Cloud Computing lie in the research on data clustering. The paper presents a parallel k-means clustering algorithm based on MapReduce computing model of Hadoop platform. The MapReduce computing model has two phases: a map phase and a reduce phase. The map… CONTINUE READING

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