<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

A Comprehensive Study of Clustering a Class of 2D Shapes

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"A Comprehensive Study of Clustering a Class of 2D Shapes"}

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...

A Comprehensive Study of Clustering a Class of 2D Shapes

Published Online: Mar 31, 2022

Page range: 95 - 109

Received: Jun 29, 2021

Accepted: Nov 28, 2021

DOI: https://doi.org/10.34768/amcs-2022-0008

Keywords
shape representation, Procrustes distance, shape similarity, DTW, morphometrics, clustering, Kendall shape theory, typology of archaeological pottery

© 2022 Agnieszka Kaliszewska et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A Comprehensive Study of Clustering a Class of 2D Shapes

Published Online: Mar 31, 2022

Page range: 95 - 109

Received: Jun 29, 2021

Accepted: Nov 28, 2021

DOI: https://doi.org/10.34768/amcs-2022-0008

Keywordsshape representation, Procrustes distance, shape similarity, DTW, morphometrics, clustering, Kendall shape theory, typology of archaeological pottery

© 2022 Agnieszka Kaliszewska et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
shape representation, Procrustes distance, shape similarity, DTW, morphometrics, clustering, Kendall shape theory, typology of archaeological pottery