Classification of Stellar Spectral Data Using SVM
نویسندگان
چکیده
In this paper a new technique is developed on stellar spectral classification. Because stellar spectral data sets are usually extremely noisy, wavelet de-noising method is proposed to reduce noise first. Then the support vector machines (SVM) is used for the classification. Experimental results show that in most cases, there will be a better performance using this composite classifier than using SVM with principle component analysis data dimension reduction technique.
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تاریخ انتشار 2004