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
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;
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
DOI :
10.1109/GCIS.2010.62
