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A feasible k-means kernel trick under non-Euclidean feature space Cover

A feasible k-means kernel trick under non-Euclidean feature space

International Journal of Applied Mathematics and Computer Science
Volume 30 (2020): Issue 4 (December 2020)
By: Robert Kłopotek,  Mieczysław Kłopotek and  Sławomir Wierzchoń  
Open Access
|Dec 2020

Authors

Robert Kłopotek

r.klopotek@uksw.edu.pl

Faculty of Mathematics and Natural Sciences, Cardinal Stefan Wyszyński University in Warsaw, Warsaw, Poland

Mieczysław Kłopotek

klopotek@ipipan.waw.pl

Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

Sławomir Wierzchoń

stw@ipipan.waw.pl

Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland
DOI: https://doi.org/10.34768/amcs-2020-0052 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 703 - 715
Submitted on: Feb 17, 2020
Accepted on: Jul 17, 2020
Published on: Dec 31, 2020
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
kernel methods,
k-means,
clustering,
non-Euclidean feature space,
Gower/Legendre theorem
Related subjects:
Mathematics,
Applied mathematics

© 2020 Robert Kłopotek, Mieczysław Kłopotek, Sławomir Wierzchoń, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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