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/"
}