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- W3104887029 abstract "Now a days many algorithms are invented or 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 or 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." @default.
- W3104887029 created "2020-11-23" @default.
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- W3104887029 date "2012-01-01" @default.
- W3104887029 modified "2023-09-23" @default.
- W3104887029 title "Performance Evaluation: Ball-Treeand KD-Tree in the Context of MST" @default.
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- W3104887029 doi "https://doi.org/10.1007/978-3-642-32573-1_38" @default.
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