Original title: Wavelet Based Feature Extraction for Clustering of Be Stars
Authors: Bromová, P. ; Škoda, Petr ; Zendulka, J.
Document type: Papers
Conference/Event: Nostradamus 2013, Ostrava (CZ), 2013-06-03 / 2013-06-05
Year: 2013
Language: eng
Abstract: 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.
Keywords: feature extraction; stellar spectra; wavelet transform
Host item entry: Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems, ISBN 978-3-319-00541-6, ISSN 2194-5357

Institution: Astronomical Institute AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0230521

Permalink: http://www.nusl.cz/ntk/nusl-170380


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Research > Institutes ASCR > Astronomical Institute
Conference materials > Papers