# Applications of Binary Similarity and Distance Measures

arXiv: https://arxiv.org/abs/2307.00411 · HTML: https://mlsanity.com/paper/2307.00411/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 70 references that are in the map.
- First posted on arXiv 1 Jul 2023.

## Builds on (most cited first, 5 of 5)

- [On a generalization of the Jensen-Shannon divergence and the JS-symmetrization of distances relying on abstract means](https://mlsanity.com/paper/1904.04017/) (2019)
- [Distance and Similarity Measures Effect on the Performance of K-Nearest Neighbor Classifier -- A Review](https://mlsanity.com/paper/1708.04321/) (2017)
- [On Clustering Time Series Using Euclidean Distance and Pearson Correlation](https://mlsanity.com/paper/1601.02213/) (2016)
- [On Enhancing The Performance Of Nearest Neighbour Classifiers Using Hassanat Distance Metric](https://mlsanity.com/paper/1501.00687/) (2015)
- [The Normalization of Occurrence and Co-occurrence Matrices in Bibliometrics using Cosine Similarities and Ochiai Coefficients](https://mlsanity.com/paper/1503.08944/) (2015)

## Built on by (most cited first, 1 of 1)

- [Byte-level generative predictions for forensics multimedia carving](https://mlsanity.com/paper/2604.11010/) (2026)

## Abstract (arXiv)

In the recent past, binary similarity measures have been applied in solving biometric identification problems, including fingerprint, handwritten character detection, and in iris image recognition. The application of the relevant measurements has also resulted in more accurate data analysis. This paper surveys the applicability of binary similarity and distance measures in various fields.