XM-tree: data driven computational model by using metric extended nodes with non-overlapping in high-dimensional metric spaces

Volume: 25, Issue: 2, Pages: 196 - 223
Published: Apr 18, 2018
Abstract
Finding similar objects based on a query and a distance, remains a fundamental problem for many applications. The general problem of many similarity measures is to focus the search on as few elements as possible to find the answer. The index structures divides the target dataset into subsets. With large amounts of data, the volumes of the subspaces grow exponentially, that will affect the search algorithms. This problem is caused by inherent...
Paper Details
Title
XM-tree: data driven computational model by using metric extended nodes with non-overlapping in high-dimensional metric spaces
Published Date
Apr 18, 2018
Volume
25
Issue
2
Pages
196 - 223
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