arXiv
Open Access
2026
On the application of the Wasserstein metric to 2D curves classification
Agnieszka Kaliszewska
Monika Syga
Abstrak
In this work we analyse a number of variants of the Wasserstein distance which allow to focus the classification on the prescribed parts (fragments) of classified 2D curves. These variants are based on the use of a number of discrete probability measures which reflect the importance of given fragments of curves. The performance of this approach is tested through a series of experiments related to the clustering analysis of 2D curves performed on data coming from the field of archaeology.
Topik & Kata Kunci
Penulis (2)
A
Agnieszka Kaliszewska
M
Monika Syga
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2026
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- en
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- arXiv
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- Open Access ✓