期刊名称：International Journal of Advanced Computer Research
印刷版ISSN：2249-7277
电子版ISSN：2277-7970
出版年度：2013
卷号：3
期号：10
页码：134-137
出版社：Association of Computer Communication Education for National Triumph (ACCENT)
摘要：This paper presents the review of various techniques which are used for clustering in data mining.Clustering is the process of dividing data into group of similar objects.Clustering involves various techniques so that the data can be partitioned into groups of same data like k-means algorithm, k-medoid, BIRCH algorithm, chameleon, CLIQUE algorithm, DBSCAN algorithm. In this paper, the overview of these entire algorithms has been discussed.
关键词：Clustering; Hierarchical clustering; Data Mining.
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