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A comprehensive study of clustering a class of 2D shapes

Kaliszewska Agnieszka, Syga Monika

International Journal of Applied Mathematics and Computer Science

2022

Vol. 32, no. 1

95--109

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.