DocumentCode
538893
Title
Optimization Study on Spatial Clustering by Hierarchy Dividing
Author
Yongsen Li ; Jiansheng Zhou ; Xin Zhang ; Darong Zhu
Author_Institution
Sch. of Manage., Anhui Univ. of Archit., Hefei, China
Volume
2
fYear
2010
fDate
16-17 Dec. 2010
Firstpage
100
Lastpage
102
Abstract
Spatial clustering is very relevant to its sample distribution, clustering geometry configuration and spatial structure. Hierarchy dividing of spatial clustering and its optimization has been studied based on K-means algorithm in this paper. It recommends a classical method of hierarchy dividing of spatial clustering and a new rule to optimize the k value of spatial clustering. The rule and its expansibility have also been studied in this paper. Examples show it is rational.
Keywords
geometry; optimisation; pattern clustering; K-means algorithm; clustering geometry configuration; hierarchy dividing; optimization; sample distribution; spatial clustering; spatial structure; Certification; Classification algorithms; Clustering algorithms; Fractals; Graphics; Optimization; Hierarchy dividing; Optimization of k value; Spatial clustering;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9247-3
Type
conf
DOI
10.1109/GCIS.2010.62
Filename
5708796
Link To Document