Parallelization of K-Means Clustering Algorithm for Data Mining

In this paper, we studied the parallelization of K-Means clustering algorithm, proposed a parallel scheme, designed a corresponding algorithm, and implemented the algorithm in GPU environment. The experimental result shows that the GPU-based parallelization algorithm has a good acceleration effect c...

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Bibliographic Details
Main Authors: Jiang Hao, Yu Liyan
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:ITM Web of Conferences
Online Access:https://doi.org/10.1051/itmconf/20171203048
Description
Summary:In this paper, we studied the parallelization of K-Means clustering algorithm, proposed a parallel scheme, designed a corresponding algorithm, and implemented the algorithm in GPU environment. The experimental result shows that the GPU-based parallelization algorithm has a good acceleration effect compared with the CPU-based serialization algorithm.
ISSN:2271-2097