[Rapid identification of variable star spectrum based on information entropy].
Guang Pu Xue Yu Guang Pu Fen Xi
; 32(1): 255-8, 2012 Jan.
Article
en Zh
| MEDLINE
| ID: mdl-22497171
Variable star is very important for mankind studying cosmic origin and evolution. For studying variable star, the chief difficulty results from the filtration and identification of variable star, that is how to validly identify variable star spectra from large high-dimensional star spectra data. The traditional outlier definition tries to find the difference between the outlier data and the general model by different ways, and then the result is quantitatively analyzed and filtrated. However, the time complexity of this method is over size and its results are inscrutable and unaccountable. Information entropy is a measure of the uncertainty associated with a random variable. In the present paper, information entropy is imported as the standard of dataset common mode. A novel method is proposed to identify the variable star spectrum rapidly based on information entropy. The time complexity of this method is observably reduced and the man-made impact is effectively overcome. The preliminary experimental results based on Sloan star spectrum data show that the method is workable for rapid identification of variable star spectrum.
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Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Idioma:
Zh
Revista:
Guang Pu Xue Yu Guang Pu Fen Xi
Año:
2012
Tipo del documento:
Article
País de afiliación:
China
Pais de publicación:
China