Research Article

Application of Data Denoising and Classification Algorithm Based on RPCA and Multigroup Random Walk Random Forest in Engineering

Figure 8

When is 0.5, (a), (b), (c), (d), (e), (f), (g), and (h) are the confusion matrices of RPCA-MRWRF for is 0, 0.1%, 1%, 2%, 5%, 10%, 20%, and 30%, respectively, where ND denotes no damage, GD denotes general damage, HD denotes heavier damage, and SD denotes serious damage.
(a)
(b)
(c)
(d)
(e)
(f)
(g)
(h)