Quasar clustering based on their parameterization data

Chenghong Lin; Piotr Wasiewicz

doi:10.1117/12.2535704

6 November 2019 Quasar clustering based on their parameterization data

Chenghong Lin, Piotr Wasiewicz

Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 1117636 (2019) https://doi.org/10.1117/12.2535704
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland

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.

Citation Download Citation

Chenghong Lin and Piotr Wasiewicz "Quasar clustering based on their parameterization data", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 1117636 (6 November 2019); https://doi.org/10.1117/12.2535704

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