Computer and Modernization ›› 2010, Vol. 1 ›› Issue (8): 5-7.doi: 10.3969/j.issn.1006-2475.2010.08.002
• 算法设计与分析 • Previous Articles Next Articles
MENG Hai-dong, YANG Yan-kan
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Abstract:
During dealing with massive data sets, a single computer’s power is limited. The traditional clustering algorithms are difficult to obtain the results in the short time. To overcome these problems, a new parallel clustering algorithm is presented according to the analysis of clustering algorithm based on density and adaptive densityreachable. Theoretical analysis and experimental results demonstrate that the algorithm is nearlinear speedup ratio, and can handle the massive data sets effectively.
Key words: parallel clustering, massive data sets, cluster computer
MENG Hai-dong;YANG Yan-kan. Design and Research of Parallel Clustering Algorithm[J]. Computer and Modernization, 2010, 1(8): 5-7.
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URL: http://www.c-a-m.org.cn/EN/10.3969/j.issn.1006-2475.2010.08.002
http://www.c-a-m.org.cn/EN/Y2010/V1/I8/5