标题：The Application of Automatic Classification of Massive SDSS Spectra
作者：Jiang Bin; Wang Wenyu; Ma Chunyu; Wang Wei; Qu Meixia
作者机构：[Jiang Bin; Wang Wenyu; Ma Chunyu; Wang Wei; Qu Meixia] Shandong Univ Weihai, Sch Mech Elect & Informat Engn, Weihai, Peoples R China.
会议名称：2nd IEEE International Conference on Computer and Communications (ICCC)
会议日期：OCT 14-17, 2016
来源：2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC)
关键词：statistics; PCA; classifier
摘要：Data Release 12 is the final data release of the Sloan Digital Sky Survey (SDSS). We present a novel technique for automatically classifying massive stellar spectra selected from SDSS. The principal component analysis (PCA) is investigated to extract feature of spectra in conjunction with clustering method based on fast search and density peaks. After identifying groups of the cluster center, massive SDSS stellar spectra are classified to MK spectral classification. The result of the experiment indicates that the classification accuracy is up to 90% which proves the effectiveness of the method.