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采用恒星天体光谱数据作为形式背景，实验验证了算法的正确性和有效性。
The experiment results validate the correctness and validity of the algorithm by using the celestial spectrum data as the formal context.
水蒸气分子光谱数据在航天科学、大气科学、天体物理以及热能动力工程中有着广泛的应用。
Spectral data of water vapor molecules have been widely used in the fields of aerospace science, atmospheric science, astrophysics, thermal energy and power engineering.
在宇宙中，寻求特殊的、未知的天体是人类探索宇宙奥妙所追求的目标之一，天体光谱离群数据识别方法是实现该目标的有效手段之一。
A recognition method of celestial spectra outliers based on concept lattice is proposed by regarding the intension of the concept lattice nodes as characteristic subspace of the celestial spectra.
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