文章基本信息

标题：D-IMPACT: A Data Preprocessing Algorithm to Improve the Performance of Clustering
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作者：Vu Anh Tran ; Osamu Hirose ; Thammakorn Saethang 等
期刊名称：Journal of Software Engineering and Applications
印刷版ISSN：1945-3116
电子版ISSN：1945-3124
出版年度：2014
卷号：07
期号：08
页码：639-654
DOI：10.4236/jsea.2014.78059
语种：English
出版社：Scientific Research Publishing
摘要：In this study, we propose a data preprocessing algorithm called D-IMPACT inspired by the IMPACT clustering algorithm. D-IMPACT iteratively moves data points based on attraction and density to detect and remove noise and outliers, and separate clusters. Our experimental results on two-dimensional datasets and practical datasets show that this algorithm can produce new datasets such that the performance of the clustering algorithm is improved.
关键词：Attraction; Clustering; Data Preprocessing; Density; Shrinking