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Electronic Edition @ Vldb.org (open Access).pdf

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Preview of electronic edition @ vldb.org (open access)
🔗 Source: vldb.org
📊 Size: 1.15 MB
📄 Pages: 13 pages
⬇️ Downloads: 175

Summary

DESIRE is an efficient dynamic cluster-based forest indexing method for similarity search in multi-metric spaces, which can accommodate various data types and support flexible distance metrics. It clusters objects into compact regions using high-quality centers and employs B+-trees to index distances between centers and objects. DESIRE also includes efficient update strategies for dynamic scenarios and filtering techniques to accelerate similarity queries. Experiments on real datasets demonstrate its superior efficiency and scalability compared to state-of-the-art multi-metric space indexes.

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Description

DESIRE is an efficient dynamic cluster-based forest indexing method for similarity search in multi-metric spaces, which can accommodate various data types and...

Technical Information

  • File Format: PDF
  • File Size: 1.15 MB
  • Pages: 13
  • Language: EN
  • Total Downloads: 175
  • Last Updated: 4 hours ago

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