Title :
A method for visualizing the distance
Author :
Seo, Dong-Hun ; Lee, Pil-hwan ; Kong, Jung Min ; Song, Chi Hwa ; Lee, Won Don
Author_Institution :
Dept. of Comput. Sci. & Eng., ChungNam Nat. Univ., Daejeon
Abstract :
In this paper, we propose a method to visualize the distance among data. It is a method for analyzing the distance relationship among the multi-dimensional data represented by a set of attributes. By this method, one can represent high dimensional data sets into low dimensional coordinates. To achieve the goal Kullback-Leibler divergence measure is used for distance determining process and simulated annealing for positioning process.
Keywords :
data visualisation; simulated annealing; Kullback-Leibler divergence measure; distance determining process; high dimensional data sets; multidimensional data; positioning process; simulated annealing; Approximation algorithms; Arithmetic; Computer science; Data visualization; Neural networks; Position measurement; Probability distribution; Simulated annealing; Stochastic processes; Temperature distribution;
Conference_Titel :
Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-0778-1
Electronic_ISBN :
978-1-4244-1779-8
DOI :
10.1109/ISSPA.2007.4555518
