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  • 标题:Improved Clustering using Hierarchical Approach
  • 本地全文:下载
  • 作者:Megha Gupta ; Vishal Shrivastava
  • 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:6-1
  • 出版社:Seventh Sense Research Group
  • 摘要:This paper presents the methods for finding better and improved clusters using partitioning methods along with hierarchical methods. In this paper, kmeans algorithm has been used for finding clusters and the resultant clusters are further divided using CFNG (Colored Farthest Neighbor Graph). The final clusters formed would be better and closed as compared to the clusters formed using kmeans algorithm.
  • 关键词:Data mining; K-means algorithm; CFNG
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