Performance Evaluation: Ball-Treeand KD-Tree in the Context of MST

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 kdtree and ball-tree on spatial datasets of different dimensions.