文章基本信息

标题：A Hybrid Clustering Algorithm for Data Mining
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作者：Ravindra Jain
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2012
卷号：2
期号：2
页码：387-393
DOI：10.5121/csit.2012.2239
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Data clustering is a process of arranging similar data into groups. A clustering algorithm partitions a data set into several groups such that the similarity within a group is better than among groups. In this paper a hybrid clustering algorithm based on K-mean and K-harmonic mean (KHM) is described. The proposed algorithm is tested on five different datasets. The research is focused on fast and accurate clustering. Its performance is compared with the traditional K-means & KHM algorithm. The result obtained from proposed hybrid algorithm is much better than the traditional K-mean & KHM algorithm.
关键词：Clustering Algorithm; K-harmonic Mean; K-mean; Hybrid clustering;