Publication Details

Classification of Spectra of Emission Line Stars Using Machine Learning Techniques

ŠKODA Petr, VÁŽNÝ Jaroslav and VRÁBELOVÁ Pavla. Classification of Spectra of Emission Line Stars Using Machine Learning Techniques. International Journal of Automation and Computing, vol. 11, no. 3, 2013, pp. 265-273. ISSN 1476-8186.

Czech title

Klasifikace spekter emisních čar hvězd použitím metod strojového učení

Type

journal article

Language

english

Authors

Škoda Petr (ASU)
Vážný Jaroslav, Mgr. (MUNI)
Vrábelová Pavla, Ing. (DIFS FIT BUT)

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

Publisher

Springer-Verlag New York Incorporated

BibTeX

@ARTICLE{FITPUB10415,
   author = "Petr \v{S}koda and Jaroslav V\'{a}\v{z}n\'{y} and Pavla Vr\'{a}belov\'{a}",
   title = "Classification of Spectra of Emission Line Stars Using Machine Learning Techniques",
   pages = "265--273",
   journal = "International Journal of Automation and Computing",
   volume = 11,
   number = 3,
   year = 2013,
   ISSN = "1476-8186",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10415"
}