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
Link To Document :
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