@misc{Kaliszewska_Agnieszka_A,
 author={Kaliszewska, Agnieszka and Syga, Monika},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 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.},
 type={artykuł},
 title={A comprehensive study of clustering a class of 2D shapes},
 keywords={shape representation, Procrustes distance, shape similarity, DTW, morphometrics, clustering, Kendall shape theory, typology of archaeological pottery},
}