• DocumentCode
    1989092
  • Title

    A method for visualizing the distance

  • Author

    Seo, Dong-Hun ; Lee, Pil-hwan ; Kong, Jung Min ; Song, Chi Hwa ; Lee, Won Don

  • Author_Institution
    Dept. of Comput. Sci. & Eng., ChungNam Nat. Univ., Daejeon
  • fYear
    2007
  • fDate
    12-15 Feb. 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we propose a method to visualize the distance among data. It is a method for analyzing the distance relationship among the multi-dimensional data represented by a set of attributes. By this method, one can represent high dimensional data sets into low dimensional coordinates. To achieve the goal Kullback-Leibler divergence measure is used for distance determining process and simulated annealing for positioning process.
  • Keywords
    data visualisation; simulated annealing; Kullback-Leibler divergence measure; distance determining process; high dimensional data sets; multidimensional data; positioning process; simulated annealing; Approximation algorithms; Arithmetic; Computer science; Data visualization; Neural networks; Position measurement; Probability distribution; Simulated annealing; Stochastic processes; Temperature distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
  • Conference_Location
    Sharjah
  • Print_ISBN
    978-1-4244-0778-1
  • Electronic_ISBN
    978-1-4244-1779-8
  • Type

    conf

  • DOI
    10.1109/ISSPA.2007.4555518
  • Filename
    4555518
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1989092