Publication Details

Classification of Spectra of Emission Line Stars Using Machine Learning Techniques

VRÁBELOVÁ, P.; ŠKODA, P.; VÁŽNÝ, J. Classification of Spectra of Emission Line Stars Using Machine Learning Techniques. International Journal of Automation and Computing, 2013, vol. 11, no. 3, p. 265-273. ISSN: 1476-8186.
Czech title
Klasifikace spekter emisních čar hvězd použitím metod strojového učení
Type
journal article
Language
English
Authors
Vrábelová Pavla, Ing.
Škoda Petr, RNDr., Ph.D.
Vážný Jaroslav
Keywords

Be star, stellar spectrum, feature extraction, dimension reduction, discrete wavelet transform, classification, support vector machines (SVM), clustering

Abstract

The paper deals with classification and clustering of emission-line spectra of Be stars using discrete wavelet transform (DWT), PCA, and support vector machines (SVM).

Published
2013
Pages
265–273
Journal
International Journal of Automation and Computing, vol. 11, no. 3, ISSN 1476-8186
BibTeX 
@article{BUT111438,
  author="Pavla {Vrábelová} and Petr {Škoda} and Jaroslav {Vážný}",
  title="Classification of Spectra of Emission Line Stars Using Machine Learning Techniques",
  journal="International Journal of Automation and Computing",
  year="2013",
  volume="11",
  number="3",
  pages="265--273",
  issn="1476-8186",
  url="https://www.fit.vut.cz/research/publication/10415/"
}
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