文章基本信息

标题：Review of Different Automatic Evaluation of Clusters Based on a Cluster Validation Indexes
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作者：S. A. Magdum ; H. A. Tirmare
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：4
页码：1584-1587
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Clustering is an important technique in data mining. In clustering process the given data points partitioned into a group based on some similarity measures. There are number of clustering algorithms presented and applied in many fields, such as image analysis, data mining, pattern recognition and Bioinformatics. For most clustering algorithms, the number of clusters is one of the essential parameters. However, this parameter is initially not available for most of the data sets. Thus, this paper intends to overcome this problem by proposing different algorithm for automatic clustering without knowing the value of k that is the number of clusters.
关键词：Genetic Algorithms (GA); Automatic clustering; ; Validation; Particle Swarm Optimization (PSO).