Spectroscopy and Spectral Analysis, Volume. 33, Issue 1, 237(2013)
A Post-Processing Method of Classification Rule on Stellar Spectra
Automatic classification and analysis of observational data is of great significance along with the gradual implementation of LAMOST Survey, which will obtain a large number of spectra data. In classification rules extracted, there is often a great deal of redundancy which will reduce the classification efficiency and quality seriously. In the present paper, a post-processing method of star spectra classification rule based on predicate logic is presented by using predication to describe the classification rules and logical reasoning to eliminate redundant rules. In the end, some experimental results on LAMOST’s stellar spectra data show that, with no classification accuracy reduction, the efficiency of auto classification is significantly improved.
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CAI Jiang-hui, YANG Hai-feng, ZHAO Xu-jun, ZHANG Ji-fu. A Post-Processing Method of Classification Rule on Stellar Spectra[J]. Spectroscopy and Spectral Analysis, 2013, 33(1): 237
Received: Jun. 1, 2012
Accepted: --
Published Online: Feb. 4, 2013
The Author Email: Jiang-hui CAI (cjhjj@sohu.com)