• DocumentCode
    480148
  • Title

    Cluster Analysis Based on Spatial Feature Selecting in Spatial Data Mining

  • Author

    Wang, Zhongyuan ; Qi, Qingwen ; Xu, Li

  • Author_Institution
    Sch. of Resource & Environ. Sci., Wuhan Univ., Wuhan
  • Volume
    4
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    386
  • Lastpage
    389
  • Abstract
    The method of cluster analysis is usually adopted in spatial data mining research, and this paper studies the theory of the two popular methods of cluster analysis, investigates the interesting ratio of 108 features and attributes in spatial database, uses these two methods respectively to analyze the statistics data and compare the two analysis to get the close results, at last, classifies the current spatial database contents into three grades, and makes the relevant classification data and classification topographic maps, consequently satisfies the needs of different departments.
  • Keywords
    data mining; feature extraction; geographic information systems; pattern classification; statistical analysis; visual databases; cluster analysis; data classification; spatial data mining; spatial database feature selection; statistics data; topographic map; Clustering algorithms; Computer science; Content addressable storage; Data analysis; Data mining; Information analysis; Partial response channels; Software engineering; Spatial databases; Statistical analysis; Cluster analysis; classification; spatial data mining; spatial feature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1334
  • Filename
    4722640