mlsanityData to 7 Oct 2026

A Guide to Similarity Measures

arXiv 2408.07706 ↗First posted 7 Aug 2024cs.IR cs.CV cs.LGcited by 4

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 10 of its 101 references that are in the map. First posted on arXiv 7 Aug 2024.

Builds on

10 of 101 references.

References · 10

  1. 2019Multi-Similarity Loss with General Pair Weighting for Deep Metric Learningcited by 368
  2. 2017Sampling Matters in Deep Embedding Learningcited by 285
  3. 2018Deep Face Recognition: A Surveycited by 275
  4. 2019MIC: Mining Interclass Characteristics for Improved Metric Learningcited by 41
  5. 2021InfoLM: A New Metric to Evaluate Summarization & Data2Text Generationcited by 33
  6. 2021Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similaritycited by 18
  7. 2014Dimensionality Invariant Similarity Measurecited by 4
  8. 2019Manipulating Node Similarity Measures in Networkscited by 2
  9. 2021Small space and streaming pattern matching with k editscited by 2
  10. 2021The Dynamic k-Mismatch Problemcited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 1; 2026: 1.

4 papers.

  1. 2024Diversity-Rewarded CFG Distillationcited by 9
  2. 2024Adaptable Embeddings Network (AEN)cited by 0
  3. 2025A Compound Classification System Based on Fuzzy Relations Applied to the Noise-Tolerant Control of a Bionic Hand via EMG Signal Recognitioncited by 0
  4. 2026Anisotropy Decides Cosine vs. Rank Metrics for Text Embeddingscited by 0