Conference paper

VRÁBELOVÁ Pavla, ŠKODA Petr and ZENDULKA Jaroslav. Wavelet Based Feature Extraction for Clustering of Be Stars. In: Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems. New York: Springer US, 2013, pp. 467-474. ISBN 978-3-319-00541-6. Available from: http://link.springer.com/chapter/10.1007%2F978-3-319-00542-3_46
Publication language:english
Original title:Wavelet Based Feature Extraction for Clustering of Be Stars
Title (cs):Extrakce příznaků pro klasifikaci Be hvězd založená na vlnkové transformaci
Pages:467-474
Proceedings:Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems
Conference:NOSTRADAMUS 2013
Series:Volume 210 of Advances in Intelligent Systems and Computing
Place:New York, US
Year:2013
URL:http://link.springer.com/chapter/10.1007%2F978-3-319-00542-3_46
ISBN:978-3-319-00541-6
Publisher:Springer US
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Keywords
Be star, feature extraction, wavelet transform, wavelet power spectrum
Annotation
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 k- means algorithm. The results of our method are promising and encouraging to more detailed analysis.
BibTeX:
@INPROCEEDINGS{
   author = {Pavla Vr{\'{a}}belov{\'{a}} and Petr {\v{S}}koda and
	Jaroslav Zendulka},
   title = {Wavelet Based Feature Extraction for Clustering of Be Stars},
   pages = {467--474},
   booktitle = {Nostradamus 2013: Prediction, Modeling and Analysis of
	Complex Systems},
   series = {Volume 210 of Advances in Intelligent Systems and Computing},
   year = {2013},
   location = {New York, US},
   publisher = {Springer US},
   ISBN = {978-3-319-00541-6},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10307}
}

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