Automatic classification of WDMS spectra based on improved fisher classifier

The Sloan Digital Sky Survey (SDSS) has released the latest data (DR13) which is the first data release for the MaNGA survey. The massive spectra produced by SDSS is available for large sample research and also data source of rare and special objects like white dwarf main-sequence star (WDMS). Many techniques have been proposed to solve SDSS automatic classification problems with massive spectra and have important significance for improving the rate of scientific output of telescope. In this paper, an improved Fisher classifier is implemented for the classification of WDMS spectra in SDSS DR13. The inspiring experimental results show that this method is practical. In addition, this method can also be applied to the automatic classification of other specified objects in massive spectra without human involvement.