Publication Details

Feature Extraction Using Wavelet Power Spectrum for Stellar Spectra Clustering

ŠKODA Petr, VRÁBELOVÁ Pavla and ZENDULKA Jaroslav. Feature Extraction Using Wavelet Power Spectrum for Stellar Spectra Clustering. In: Proceedings of the 11th annual conference Znalosti 2012. Praha, 2012, pp. 31-40. ISBN 978-80-7378-220-7.
Type
conference paper
Language
english
Authors
Škoda Petr (ASU)
Vrábelová Pavla, Ing. (DIFS FIT BUT)
Zendulka Jaroslav, doc. Ing., CSc. (DIFS FIT BUT)
Annotation

This paper analyses the capabilities of using wavelet power spectrum for clustering of Be-type stars spectra. We propose a method using discrete wavelet transform for feature extraction and the wavelet power spectrum as a feature vector. We also propose a modification of this method and compare them. We analyse the methods in the clustering of artificial stellar spectra and compare them with a traditional method of wavelet-based feature extraction -- keeping $k$ largest coefficients. The results show that the correctness of clustering of our method is significantly better than in the case of a traditional method. We also compare the effect of using different type of wavelet and level of decomposition.

Published
2012
Pages
31-40
Proceedings
Proceedings of the 11th annual conference Znalosti 2012
Conference
ZNALOSTI 2012, Mikulov, CZ
ISBN
978-80-7378-220-7
Place
Praha, CZ
BibTeX 
@INPROCEEDINGS{FITPUB10061,
   author = "Petr \v{S}koda and Pavla Vr\'{a}belov\'{a} and Jaroslav Zendulka",
   title = "Feature Extraction Using Wavelet Power Spectrum for Stellar Spectra Clustering",
   pages = "31--40",
   booktitle = "Proceedings of the 11th annual conference Znalosti 2012",
   year = 2012,
   location = "Praha, CZ",
   ISBN = "978-80-7378-220-7",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10061"
}
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