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Wavelet Based Feature Extraction for Clustering of Be Stars

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU108491" target="_blank" >RIV/00216305:26230/13:PU108491 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985815:_____/13:00424303

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-319-00542-3_46" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-00542-3_46</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-00542-3_46" target="_blank" >10.1007/978-3-319-00542-3_46</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Wavelet Based Feature Extraction for Clustering of Be Stars

  • Original language 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems

  • ISBN

    978-3-319-00541-6

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    467-474

  • Publisher name

    Springer US

  • Place of publication

    New York

  • Event location

    VSB Technical University of Ostrava

  • Event date

    Jun 3, 2013

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article