About: Wavelet Based Feature Extraction for Clustering of Be Stars

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/chapter/10.1007%2F978-3-319-00542-3_46
Description	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. 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. (en)
Title	Wavelet Based Feature Extraction for Clustering of Be Stars Wavelet Based Feature Extraction for Clustering of Be Stars (en)
skos:prefLabel	Wavelet Based Feature Extraction for Clustering of Be Stars Wavelet Based Feature Extraction for Clustering of Be Stars (en)
skos:notation	RIV/00216305:26230/13:PU108491!RIV14-MSM-26230___
http://linked.open...avai/riv/aktivita	I S
http://linked.open...avai/riv/aktivity	I, S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Bromová, Pavla Zendulka, Jaroslav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	117139
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/13:PU108491
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Be star, feature extraction, wavelet transform, wavelet power spectrum (en)
http://linked.open.../riv/klicoveSlovo	wavelet transform wavelet power spectrum feature extraction Be star
http://linked.open...ontrolniKodProRIV	[25F0E4801BF7]
http://linked.open...v/mistoKonaniAkce	VSB Technical University of Ostrava
http://linked.open...i/riv/mistoVydani	New York
http://linked.open...i/riv/nazevZdroje	Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Škoda, Petr Zendulka, Jaroslav Bromová, Pavla
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2013-06-03 (xsd:date)
number of pages	9 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-319-00542-3_46
http://purl.org/ne...btex#hasPublisher	Springer US
https://schema.org/isbn	978-3-319-00541-6
http://localhost/t...ganizacniJednotka	26230

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