• DocumentCode
    3727120
  • Title

    Soil data clustering by using K-means and fuzzy K-means algorithm

  • Author

    Elma Hot;Vesna Popovi?-Bugarin

  • Author_Institution
    Elektrotehnicki fakultet u Podgorici, University of Montenegro, D?ord?a Va?ingtona bb, 81000 Podgorica
  • fYear
    2015
  • Firstpage
    890
  • Lastpage
    893
  • Abstract
    A problem of soil clustering and spatial representation of the obtained results, based on in-situ measurements of physical and chemical characteristics of soil, is analysed in the paper. K-means and fuzzy K-means algorithms are adapted for the soil data clustering. Database of soil samples sampled in Montenegro is used for comparative analysis of the used algorithm. Classified soil data are presented on static Google map.
  • Keywords
    "Clustering algorithms","Soil","Convergence","Algorithm design and analysis","Data mining","Chemicals","Databases"
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Forum Telfor (TELFOR), 2015 23rd
  • Type

    conf

  • DOI
    10.1109/TELFOR.2015.7377608
  • Filename
    7377608
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3727120