关键词: 聚类分析,FITSio,光谱数据,LAMOST

Abstract: The efficient analysis and processing of astronomical data is supported by Internet plus integration information technology.The massive observation data and secondary data have achieved efficient storage,retrieval,data analysis and information mining. Combined with the fourth (DR4) released star spectral flowed calibration data of the large scien-tific engineering LAMOST telescope survey which has owned China’s independent intellectual property rights, taking the astronomical data released by LAMOST as an example,RFITSIO software package of R language programming platform is used to read and write the spectrum documents of special FITS format.With the statistical data and data mining method,the verification scheme of supervised grid clustering was designed,by processing and identifying the spectral data.The spectral characteristics were extracted by dimensionality reduction.The characteristics of the absorption spectra were retained by normalized continuous spectrum,then the center grid of clustering wave length scale was divided,and the similarity measure function was used to describe the observed spectrum.

Key words: Cluster analysis,Flexible image transport system input output, Spectrum data,Large sky area multi-object fiber spectroscopy telescope