A Comprehensive Study of Clustering a Class of 2D Shapes
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Abstract
The paper is concerned with clustering with respect to the shape and size of 2D contours that are boundaries of cross-sections of 3D objects of revolution. We propose a number of similarity measures based on combined disparate Procrustes analysis (PA) and dynamic time warping (DTW) distances. A motivation and the main application for this study comes from archaeology. The computational experiments performed refer to the clustering of archaeological pottery.
Language: English
Page range: 95 - 109
Submitted on: Jun 29, 2021
Accepted on: Nov 28, 2021
Published on: Mar 31, 2022
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
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© 2022 Agnieszka Kaliszewska, Monika Syga, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.