• DocumentCode
    267116
  • Title

    Hierarchical Density-Based Clustering Using Level-Sets

  • Author

    Indaco, Francesco Alex ; Teng-Sheng Moh

  • Author_Institution
    Dept. of Comput. Sci., San Jose State Univ., San Jose, CA, USA
  • fYear
    2014
  • fDate
    15-18 Dec. 2014
  • Firstpage
    692
  • Lastpage
    695
  • Abstract
    This paper introduces the concept of graphing the size of a level-set against its respective density threshold. This is used to develop a new recursive version of DBSCAN that successfully performs hierarchical clustering, called Level-Set Clustering (LSC).
  • Keywords
    graph theory; learning (artificial intelligence); pattern clustering; set theory; DBSCAN; LSC; density threshold; hierarchical density-based clustering; level-set clustering; level-set size graphing; Clustering algorithms; Complexity theory; Computer science; Educational institutions; Indexing; Kernel; Optics; Density-Based Clustering; Hierarchical Clustering; Machine Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/CloudCom.2014.126
  • Filename
    7037740
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=267116