Research Article

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

Figure 10

When is 0.6, (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)