Title :
The Research on Two-Dimensional Gaussian Graphic Algorithm Based on Random Vectors Simulation Method
Author_Institution :
Dept. of Inf. & Eng. Sci., City Coll. Of Jiangsu(Changzhou), Changzhou, China
Abstract :
The basic thoughts of Gaussian graphic algorithm are generating a Gaussian matrix according to the two-dimensional normal distribution formula. When calculating every point in the new graph, we can make the center of Gaussian matrix aim to the point in the initial graph, and use the method of weighted average for all points according to the corresponding points on Gaussian matrix. The two-dimensional Gaussian graphic algorithm is often used to reduce the size of the graph. This paper makes the preliminary study based on the random vectors simulation method. The algorithm realizes correlative codes by using Matlab and experiments demonstrate that this is an efficient and fast algorithm.
Keywords :
Gaussian distribution; graph theory; matrix algebra; normal distribution; vectors; Gaussian matrix; Matlab; initial graph; random vectors simulation method; two-dimensional Gaussian graphic algorithm; two-dimensional normal distribution formula; Algorithm design and analysis; Covariance matrix; Eigenvalues and eigenfunctions; Gaussian distribution; Matrix decomposition; Symmetric matrices; Vectors; Cdimensional; Gaussian matrix; graphic algorithm; random vectors; simulation method;
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4577-1788-8
DOI :
10.1109/KAM.2011.86