期刊名称：International Journal of Computer Science and Communication Networks
电子版ISSN：2249-5789
出版年度：2013
卷号：3
期号：5
页码：271-275
出版社：Technopark Publications
摘要：Data Mining is the process of extracting hidden knowledge, useful trends and pattern from large databases which is used in organization for decision-making purpose. There are various data mining techniques like clustering, classification, prediction, outlier analysis and association rule mining. Clustering plays an important role in data mining process. This paper focuses about clustering techniques.There are several applications where clustering technique is used. Clustering is the process of assigning data sets into different groups so that data sets in same group having similar behavior as compared to data sets in other groups. This paper discusses about various clustering techniques. It also describes about various pros and cons of these techniques. This paper also focuses on comparative analysis of various clustering techniques.
关键词：Clustering; Density based Methods (DBM); Data Mining (DM); Grid Based Methods (GBM); Partition Methods(PM); HierarchicalMethods (HM)
