A comprehensive study of clustering a class of 2D shapes
This addresses a domain-specific problem for archaeology, focusing on pottery analysis, and appears incremental as it combines existing methods.
The paper tackled the problem of clustering 2D contours from 3D object cross-sections by proposing similarity measures combining Procrustes analysis and Dynamic Time Warping, with computational experiments on archaeological pottery showing results but lacking concrete numbers.
The paper concerns 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. Motivation and the main application for this study comes from archaeology. The performed computational experiments refer to the clustering of archaeological pottery.