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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2017-01-01
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Series: | ITM Web of Conferences |
Online Access: | https://doi.org/10.1051/itmconf/20171203048 |
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. |
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ISSN: | 2271-2097 |