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A Comprehensive Study of Clustering a Class of 2D Shapes Cover

A Comprehensive Study of Clustering a Class of 2D Shapes

International Journal of Applied Mathematics and Computer Science
Volume 32 (2022): Issue 1 (March 2022)
By:  and    
Open Access
|Mar 2022
Authors

Authors

Agnieszka Kaliszewska

Agnieszka.Kaliszewska@ibspan.waw.pl

Systems Research Institute Polish Academy of Sciences, Warsaw, Poland

Monika Syga

m.syga@mini.pw.edu.pl

Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland
DOI: https://doi.org/10.34768/amcs-2022-0008 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 95 - 109
Submitted on: Jun 29, 2021
Accepted on: Nov 28, 2021
Published on: Mar 31, 2022
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
shape representation,
Procrustes distance,
shape similarity,
DTW,
morphometrics,
clustering,
Kendall shape theory,
typology of archaeological pottery
Related subjects:
Mathematics,
Applied mathematics

© 2022 Agnieszka Kaliszewska, Monika Syga, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 32 (2022): Issue 1 (March 2022)
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