Publication details

Organizing Similarity Spaces using Metric Hulls

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Year of publication 2021
Type Article in Proceedings
Conference 14th International Conference on Similarity Search and Applications (SISAP 2021)
MU Faculty or unit

Faculty of Informatics

Keywords metric-hull tree; metric hull; index structure; nearest-neighbors query; similarity search
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Description A novel concept of a metric hull has recently been introduced to encompass a set of objects by a few selected border objects. Following one of the metric-hull computation methods that generate a hierarchy of metric hulls, we introduce a metric index structure for unstructured and complex data, a Metric Hull Tree (MH-tree). We propose a construction of MH-tree by a bulk-loading procedure and outline an insert operation. With respect to the design of the tree, we provide an implementation of an approximate $k$NN search operation. Finally, we utilized the Profimedia dataset to evaluate various building and ranking strategies of MH-tree and compared the results with M-tree.
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