• DocumentCode
    459099
  • Title

    Clustering with Prototype Entity Selection in Data Mining

  • Author

    Kovacs, Eva ; Ignat, Dr Ing Iosif

  • Author_Institution
    Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca
  • Volume
    1
  • fYear
    2006
  • fDate
    25-28 May 2006
  • Firstpage
    415
  • Lastpage
    419
  • Abstract
    This paper presents an original classification method used in data mining, namely, the clustering with prototype entity selection (abbreviated CPES). The paper describes its mathematical essence, presents the algorithm and the experimental results obtained as compared to other methods of classification
  • Keywords
    data mining; pattern classification; pattern clustering; classification method; data clustering; data mining; mathematical essence; prototype entity selection; Algorithm design and analysis; Automation; Clustering algorithms; Computer science; Data analysis; Data mining; Databases; Predictive models; Prototypes; Runtime; clustering; data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation, Quality and Testing, Robotics, 2006 IEEE International Conference on
  • Conference_Location
    Cluj-Napoca
  • Print_ISBN
    1-4244-0360-X
  • Electronic_ISBN
    1-4244-0361-8
  • Type

    conf

  • DOI
    10.1109/AQTR.2006.254572
  • Filename
    4022894
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=459099