Spectra classification based on kernel methods

Xin Xu, Fuqing Duan, A-Li Luo · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005

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.

Read the paper · More papers on PaperTik