Název: Wavelet Based Feature Extraction for Clustering of Be Stars
Autoři: Bromová, P. ; Škoda, Petr ; Zendulka, J.
Typ dokumentu: Příspěvky z konference
Konference/Akce: Nostradamus 2013, Ostrava (CZ), 2013-06-03 / 2013-06-05
Rok: 2013
Jazyk: eng
Abstrakt: The goal of our work is to create a feature extraction method for classification of Be stars. Be stars are characterized by prominent emission lines in their spectrum. We focus on the automated classification of Be stars based on typical shapes of their emission lines. We aim to design a reduced, specific set of features characterizing and discriminating the shapes of Be lines. In this paper, we present a feature extraction method based on the wavelet transform and its power spectrum. Both the discrete and continuous wavelet transform are used. Different feature vectors are created and compared on clustering of Be stars spectra from the archive of the Astronomical Institute of the Academy of Sciences of the Czech Republic. The clustering is performed using the kmeans algorithm. The results of our method are promising and encouraging to more detailed analysis.
Klíčová slova: feature extraction; stellar spectra; wavelet transform
Zdrojový dokument: Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems, ISBN 978-3-319-00541-6, ISSN 2194-5357

Instituce: Astronomický ústav AV ČR (web)
Informace o dostupnosti dokumentu: Dokument je dostupný v příslušném ústavu Akademie věd ČR.
Původní záznam: http://hdl.handle.net/11104/0230521

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-170380


Záznam je zařazen do těchto sbírek:
Věda a výzkum > AV ČR > Astronomický ústav
Konferenční materiály > Příspěvky z konference