Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (9): 138-140.DOI: 10.3778/j.issn.1002-8331.2009.09.040
• 数据库、信号与信息处理 • Previous Articles Next Articles
PENG Yun,DING Shu-liang
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彭 云,丁树良
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Abstract: The scale of original data is very large.It is difficult to realize the clustering algorithm.Clustering analysis often takes the key attributes as classification parameters.This paper presents a method of clustering analysis based on attributes reduction.It can reduce the redundant attributes,and improve the robusting and efficiency of clustering analysis.
摘要: 由于原始海量数据规模较大,聚类算法难以实现,而且聚类分析有时候只考虑关键属性作为分类参数。因此提出了一种对原始数据先进行属性约简,再聚类分析的策略,可以在一定程度上消除数据对象中的冗余属性,改善聚类分析的鲁棒性,提高聚类算法的有效性。
PENG Yun,DING Shu-liang. Clustering analysis based on attributes reduction[J]. Computer Engineering and Applications, 2009, 45(9): 138-140.
彭 云,丁树良. 基于属性约简的聚类分析技术[J]. 计算机工程与应用, 2009, 45(9): 138-140.
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URL: http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2009.09.040
http://cea.ceaj.org/EN/Y2009/V45/I9/138