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