Robust Algorithm and Its Application in Infrared Spectral Analysis

The recent achievements of sundry robust algorithms, including robust principal component analysis, robust principal component regression, robust partial least square regression, robust continuum regression, etc. are summarized. Robust algorithms can detect outliers and circumvent their negative impacts. The application of robust algorithms in infrared spectral analysis can be expected to improve the qualitative and quantitative models.