A B S T R A C T
After two decades of research, the techniques for efficient similarity search in metric
spaces have combined virtually all the available tricks resulting in many structural index
designs. As the representative state-of-the-art metric access methods (also called metric
indexes) that vary in the usage of filtering rules and in structural designs, we could
mention the M-tree, the M-Index and the List of Clusters, to name a few. In this paper, we
present the concept of cut-regions that could heavily improve the performance of metric
indexes that were originally designed to employ simple ball-regions. We show that the
shape of cut-regions is far more compact than that of ball-regions, yet preserving simple
and concise representation.We present three re-designed metric indexes originating from
the above-mentioned ones but utilizing cut-regions instead of ball-regions. We show
that cut-regions can be fully utilized in the index structure, positively affecting not only
query processing but also the index construction. In the experiments we show that the
re-designed metric indexes significantly outperform their original versions.
& 2014 Elsevier Ltd. All rights reserved.
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کد محصول : شماره 106
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