DocumentCode :
472508
Title :
A New Algorithm for Finding Convex Hull with a Maximum Pitch of the Dynamical Base Line
Author :
Qihai, Zhou ; Tao, Huang ; Hongyu, Wu ; Zhongjun, Li ; Xun, Lin
Author_Institution :
Southwestern Univ. of Finance & Econ., Chengdu
fYear :
2008
fDate :
23-24 Jan. 2008
Firstpage :
630
Lastpage :
634
Abstract :
In this paper, a representative algorithm convex hull with half-dividing and recurrence is commented; and according to the isomorphic fundamental theorem of the convex hull construction, a more efficient new algorithm to find a convex hull based on the dynamical base line with a maximum pitch of the dynamical base line is given. The general characters of the new algorithm are: 1) find out the outside-most poles which are the leftmost, rightmost, topmost and bottommost points of the given 2D point set, i.e. the four initial poles which have the maximum or the minimum coordinate value of the X or Y axis among all the points in the given 2D point set; 2) divide the original distributed domain into four sub-domains with the initial poles; 3) in every sub-domain, construct a current pole with a maximum pitch to its base line based on the last pole got just dynamically and sequentially, and draw the rims of this convex polygon with these poles for intelligent approximating for a convex hull of the given 2D point set step by step.
Keywords :
computational geometry; set theory; 2D point set; convex hull; convex polygon; dynamical base line; isomorphic fundamental theorem; maximum pitch; Clustering algorithms; Data analysis; Data engineering; Data mining; Data security; Finance; Information analysis; Information technology; Knowledge engineering; Wrapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-0-7695-3090-1
Type :
conf
DOI :
10.1109/WKDD.2008.40
Filename :
4470473
Link To Document :
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