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Efficient Astronomical Data Condensation Using Approximate Nearest Neighbors Cover

Efficient Astronomical Data Condensation Using Approximate Nearest Neighbors

International Journal of Applied Mathematics and Computer Science
Volume 29 (2019): Issue 3 (September 2019)
By: Szymon Łukasik,  Konrad Lalik,  Piotr Sarna,  Piotr A. Kowalski,  Małgorzata Charytanowicz and  Piotr Kulczycki  
Open Access
|Sep 2019

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DOI: https://doi.org/10.2478/amcs-2019-0034 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 467 - 476
Submitted on: Nov 11, 2018
Accepted on: Mar 18, 2019
Published on: Sep 28, 2019
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
big data,
astronomy,
data reduction,
nearest neighbor search,
kd-trees
Related subjects:
Mathematics,
Applied mathematics

© 2019 Szymon Łukasik, Konrad Lalik, Piotr Sarna, Piotr A. Kowalski, Małgorzata Charytanowicz, Piotr Kulczycki, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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