文章基本信息

标题：A SURVEY ON PARTITION CLUSTERING ALGORITHMS
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作者：S. Anitha Elavarasi ; J. Akilandeswari ; B. Sathiyabhama 等
期刊名称：International Journal of Enterprise Computing and Business Systems
电子版ISSN：2230-8849
出版年度：2011
卷号：1
期号：1
出版社：International Journal of Enterprise Computing and Business Systems
摘要：Learning is the process of generating useful information from a huge volume of data. Learning can be classified as supervised learning and unsupervised learning. Clustering is a kind of unsupervisedlearning. A pattern representing a common behavior or characteristics that exist among each item can be generated. This paper gives an overview of different partition clustering algorithm. It describes about the general working behavior, the methodologies followed on these approaches and the parameters which affects the performance of these algorithms.
关键词：Clustering; Supervised Learning; Unsupervised Learning