Spectra classification based on kernel methods

Details Spectra classification based on kernel methods Spectra classification based on kernel methods

Nov 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005spie.6043..241x&link_type=abstract

MIPPR 2005: SAR and Multispectral Image Processing. Edited by Zhang, Liangpei; Zhang, Jianqing; Liao, Mingsheng. Proceedings of

Computer Science

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Scientific paper

The star/galaxy/quasar (qso) classification according to spectra in astronomy is basic and important step in LAMOST project. It is proposed that two algorithms based on the KPCA and the GDA to classify star, galaxy and quasar in this paper. For the performance of classification, the experiments show that the KPCA is slightly better than the PCA; the GDA is also slightly better than the LDA, and it is significantly better than the KPCA.

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