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Unsupervised classification of eclipsing binary light curves through k-medoids clustering
Published in Taylor and Francis Ltd.
Volume: 47
Issue: 2
Pages: 376 - 392

This paper proposes k-medoids clustering method to reveal the distinct groups of 1318 variable stars in the Galaxy based on their light curves, where each light curve represents the graph of brightness of the star against time. To overcome the deficiencies of subjective traditional classification, we separate the stars more scientifically according to their geometrical configuration and show that our approach outperforms the existing classification schemes in astronomy. It results in two optimum groups of eclipsing binaries corresponding to bright, massive systems and fainter, less massive systems. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

About the journal
JournalData powered by TypesetJournal of Applied Statistics
PublisherData powered by TypesetTaylor and Francis Ltd.
Open AccessYes