Performance evaluation: Ball-tree and KD-tree in the context of MST

Abstract

Now a day's many algorithms are invented / being inventing to find the solution for Euclidean Minimum Spanning Tree (EMST) problem, as its applicability is increasing in much wide range of fields containing spatial / spatio - temporal data viz. astronomy which consists of millions of spatial data. To solve this problem, we are presenting a technique by adopting the dual tree algorithm for finding efficient EMST and experimented on a variety of real time and synthetic datasets. This paper presents the observed experimental observations and the efficiency of the dual tree framework,in the context of kd-tree and ball-tree on spatial datasets of different dimensions. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.