Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.07706 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866916358252396544 |
|---|---|
| author | Levy, Avivit Shalom, B. Riva Chalamish, Michal |
| author_facet | Levy, Avivit Shalom, B. Riva Chalamish, Michal |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_07706 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Guide to Similarity Measures Levy, Avivit Shalom, B. Riva Chalamish, Michal Information Retrieval Computer Vision and Pattern Recognition Machine Learning 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. |
| title | A Guide to Similarity Measures |
| topic | Information Retrieval Computer Vision and Pattern Recognition Machine Learning |
| url | https://arxiv.org/abs/2408.07706 |