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
—