Abstract:Concept lattice is an effective formal tool for data analysis and knowledge extraction. Constrained concept lattice, with the characteristics of higher constructing efficiency, practicability and pertinency, is a new concept lattice structure. For the automatic classification task of star spectrum, a classification rule mining method based on constrained concept lattice is presented by using the concepts of partition and extant supports. In the end, the experimental results validate the higher classification efficiency and correctness of the method by taking the star spectrum data as the formal context, so that an effective way is provided for the automatic classification of massive star spectrum.
Key words:Star spectrum;Constrained concept lattice;Classification rule;Partition support;Extent support
张继福,马 洋. 一种基于约束概念格的恒星光谱数据自动分类方法[J]. 光谱学与光谱分析, 2010, 30(02): 559-562.
ZHANG Ji-fu,MA Yang. Automatic Classification Method of Star Spectrum Data Based on Constrained Concept Lattice . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(02): 559-562.