Publication details

Organizing Similarity Spaces using Metric Hulls

Authors

JÁNOŠOVÁ Miriama PROCHÁZKA David DOHNAL Vlastislav

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

Citation
Keywords metric-hull tree; metric hull; index structure; nearest-neighbors query; similarity search
Attached files
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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