• DocumentCode
    3624000
  • Title

    Clustering Application Benchmark

  • Author

    Oguz Altun;Nilgun Dursunoglu;M. Fatih Amasyali

  • Author_Institution
    Computer Engineering Department, Yildiz Technical University, 34349 TURKEY. phone: +90-212-2597070
  • fYear
    2006
  • Firstpage
    178
  • Lastpage
    181
  • Abstract
    An application benchmark based on a set of clustering algorithms is described in this paper. The details of algorithms (K-means online, K-means batch, SOM-1 dimension, SOM-2 dimension, hierarchical K-means online and hierarchical SOM-1 dimension) are given. The code provided complies with ANSI C specifications, as a result is highly portable. The benchmark has been tested on various platforms using different compilers
  • Keywords
    "Clustering algorithms","Benchmark testing","Earthquakes","Spatial databases","Plants (biology)","Animals","Cities and towns","Computer languages","Credit cards"
  • Publisher
    ieee
  • Conference_Titel
    Workload Characterization, 2006 IEEE International Symposium on
  • Print_ISBN
    1-4244-0508-4
  • Type

    conf

  • DOI
    10.1109/IISWC.2006.302742
  • Filename
    4086146
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3624000