Open AccessResearch on the validility of cluster delineation based on spatial point processes
Author(s) -
Yang Ping,
Wei Hou,
Zhi Rong
Publication year - 2009
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.58.2097
Subject(s) - cluster (spacecraft) , point process , computer science , range (aeronautics) , poisson distribution , basis (linear algebra) , point (geometry) , process (computing) , algorithm , poisson point process , statistical physics , data mining , mathematics , statistics , physics , geometry , materials science , programming language , operating system , composite material
On the basis of the two-dimensional Poisson process theory and spatial point process theory, we introduced the algorithm of cluster extraction which is based on k-th order distance, aiming at determining the valid range of the algorithm. We found that the ratio of cluster and cluster's densities and the number of data both have effect on the method. But the effect of the former much bigger than that of the latter. Furthermore, we introduced the concept of weight to extend the range of the simulated data, and gave the data different weights for delineating clusters, so that the range of this algorithm can be extended.