• DocumentCode
    707318
  • Title

    A study of hierarchical clustering algorithms

  • Author

    Patel, Sakshi ; Sihmar, Shivani ; Jatain, Aman

  • Author_Institution
    Dept. of Comput. Sci., ITM Univ., Gurgaon, India
  • fYear
    2015
  • fDate
    11-13 March 2015
  • Firstpage
    537
  • Lastpage
    541
  • Abstract
    Clustering algorithm plays a vital role in organizing large amount of information into small number of clusters which provides some meaningful information. Clustering is a process of categorizing set of objects into groups called clusters. Hierarchical clustering is a method of cluster analysis which is used to build hierarchy of clusters. This paper focuses on hierarchical agglomerative clustering. In this paper, we also explain some agglomerative algorithms and their comparison.
  • Keywords
    pattern clustering; set theory; cluster analysis; hierarchical agglomerative clustering algorithms; object set categorization; Algorithm design and analysis; Clustering algorithms; Complexity theory; Couplings; Heuristic algorithms; Partitioning algorithms; Rocks; Agglomerative; Dendrogram; Hierarchical clusterin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-9-3805-4415-1
  • Type

    conf

  • Filename
    7100308