文章基本信息

标题：Hierarchical Clustering With Multi view point Based Similarity Measure
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作者：Vemulapalli V Srivalli ; R.Ganesh Kumar ; Dr. Jitendranath Mungara 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：5-5
出版社：Seventh Sense Research Group
摘要：A cluster is a group of similar objects placed together and are dissimilar to other cluster objects. In this paper, we introduce Hirarchical Clustering with Multiple view points based on different similarity measures. We use two measures for inter cluster and intracluster relation between objects . The former clustering process focuses on partitional clustering of multiview point documents, which are not focused on sparse and highdimensional data. Using Hirarchical Multiview point, we can achieve more informative assessment of similarity. We compare our approach with former model on various document collections to verify the advantages of our proposed method.
关键词：Hierarchical clustering; document clustering; similarity measure