文章基本信息

标题：A Review: Comparative Study of Various Clustering Techniques in Data Mining
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作者：Aastha Joshi ; Rajneet Kaur
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：3
出版社：S.S. Mishra
摘要：Clustering is a process of putting similar data into groups. Clustering can be considered the most important unsupervised learning technique so as every other problem of this kind; it deals with finding a structure in a collection of unlabeled data. This paper reviews six types of clustering techniques- k-Means Clustering, Hierarchical Clustering, DBSCAN clustering, OPTICS , STING .
关键词：Data clustering; K-Means Clustering; Hierarchical Clustering; DBSCAN Clustering; OPTICS; STING