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Proceedings Paper

Quasar clustering based on their parameterization data
Author(s): Chenghong Lin; Piotr Wasiewicz
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Paper Abstract

The application of data mining techniques in the field of astronomy can greatly promote the development of astronomy. The astronomical object databases are very large, so the proper dataset preprocessing is needed. This paper introduces the quasars clustering based on their parameterization data and its significance, implements several clustering methods, discusses their advantages and disadvantages.

Paper Details

Date Published: 6 November 2019
PDF: 9 pages
Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 1117636 (6 November 2019); doi: 10.1117/12.2535704
Show Author Affiliations
Chenghong Lin, Warsaw Univ. of Technology (Poland)
Piotr Wasiewicz, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 11176:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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