# A Similarity Measure for Weaving Patterns in Textiles

arXiv: https://arxiv.org/abs/1810.04604 · HTML: https://mlsanity.com/paper/1810.04604/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Oct 2018.

## Built on by (most cited first, 3 of 3)

- [Structural Textile Pattern Recognition and Processing Based on Hypergraphs](https://mlsanity.com/paper/2103.11271/) (2021)
- [Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System](https://mlsanity.com/paper/2404.01320/) (2024)
- [An Enhanced Dual Transformer Contrastive Network for Multimodal Sentiment Analysis](https://mlsanity.com/paper/2510.23617/) (2025)

## Abstract (arXiv)

We propose a novel approach for measuring the similarity between weaving patterns that can provide similarity-based search functionality for textile archives. We represent textile structures using hypergraphs and extract multisets of k-neighborhoods from these graphs. The resulting multisets are then compared using Jaccard coefficients, Hamming distances, and cosine measures. We evaluate the different variants of our similarity measure experimentally, showing that it can be implemented efficiently and illustrating its quality using it to cluster and query a data set containing more than a thousand textile samples.