Parallel Implementation of KMeans Clustering Algorithm Based on MapReduce
Author(s): ZHANG Youhai, LI Fenggang, Department of information engineeringof Anhui Vocational and Technical College, School of Management Hefei, University of Technology
Pages: 73-75
Year: 2017 Issue: 1
Journal: Journal of Jiujiang University(Natural Science Edition)
Keyword: clustering analysis; Kmeans algorithm; parallel;
Abstract: The clustering analysis was one of the important research contents of data mining and inherent in the identification data structure was an extremely important role. At present,under the environment of big data,how to more effectively use this method to extract the valuable data in the vast amounts of information was an important research direction. Taking the common Kmeans clustering algorithm as an example,authers introduced the algorithm of parallel implementation.
Pages: 73-75
Year: 2017 Issue: 1
Journal: Journal of Jiujiang University(Natural Science Edition)
Keyword: clustering analysis; Kmeans algorithm; parallel;
Abstract: The clustering analysis was one of the important research contents of data mining and inherent in the identification data structure was an extremely important role. At present,under the environment of big data,how to more effectively use this method to extract the valuable data in the vast amounts of information was an important research direction. Taking the common Kmeans clustering algorithm as an example,authers introduced the algorithm of parallel implementation.
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