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A Guide to Similarity Measures
August 07, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Avivit Levy, B. Riva Shalom, Michal Chalamish
arXiv ID
2408.07706
Category
cs.IR: Information Retrieval
Cross-listed
cs.CV,
cs.LG
Citations
5
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Similarity measures play a central role in various data science application domains for a wide assortment of tasks. This guide describes a comprehensive set of prevalent similarity measures to serve both non-experts and professional. Non-experts that wish to understand the motivation for a measure as well as how to use it may find a friendly and detailed exposition of the formulas of the measures, whereas experts may find a glance to the principles of designing similarity measures and ideas for a better way to measure similarity for their desired task in a given application domain.
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