Detail publikace

Feature Extraction Using Wavelet Power Spectrum for Stellar Spectra Clustering

ŠKODA, P. VRÁBELOVÁ, P. ZENDULKA, J.

Originální název

Feature Extraction Using Wavelet Power Spectrum for Stellar Spectra Clustering

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Autoři

ŠKODA, P.; VRÁBELOVÁ, P.; ZENDULKA, J.

Vydáno

28. 5. 2012

Místo

Praha

ISBN

978-80-7378-220-7

Kniha

Proceedings of the 11th annual conference Znalosti 2012

Strany od

31

Strany do

40

Strany počet

10

URL

https://www.fit.vut.cz/research/publication/10061/

BibTex

@inproceedings{BUT106560,
  author="Petr {Škoda} and Pavla {Vrábelová} and Jaroslav {Zendulka}",
  title="Feature Extraction Using Wavelet Power Spectrum for Stellar Spectra Clustering",
  booktitle="Proceedings of the 11th annual conference Znalosti 2012",
  year="2012",
  pages="31--40",
  address="Praha",
  isbn="978-80-7378-220-7",
  url="https://www.fit.vut.cz/research/publication/10061/"
}