Providing contexts for classification of transients in a wide-area sky survey: an application of noise-induced cluster ensemble

Boongoen, T., Iam-On, N. and Mullaney, J. orcid.org/0000-0002-3126-6712 (2022) Providing contexts for classification of transients in a wide-area sky survey: an application of noise-induced cluster ensemble. Journal of King Saud University - Computer and Information Sciences, 34 (8). pp. 5007-5019. ISSN 1319-1578

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2021 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Astronomical data; Analytical method; Machine learning; Imbalance classification; Cluster ensemble
Dates:
  • Published: September 2022
  • Published (online): 5 July 2021
  • Accepted: 23 June 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > Department of Physics and Astronomy (Sheffield)
Funding Information:
Funder
Grant number
SCIENCE AND TECHNOLOGY FACILITIES COUNCIL
ST/P005594/1
SCIENCE AND TECHNOLOGY FACILITIES COUNCIL
ST/R006539/1
SCIENCE AND TECHNOLOGY FACILITIES COUNCIL
ST/S002820/1
Depositing User: Symplectic Sheffield
Date Deposited: 17 Aug 2021 11:10
Last Modified: 24 Jun 2024 18:07
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: 10.1016/j.jksuci.2021.06.019
Open Archives Initiative ID (OAI ID):

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