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

Table 1

Input parameters.

Parameter	= 0	= 5%	= 10%	= 20%	= 30%	= 40%	= 50%
	11.055	11.05	11.052	11.051	11.05	11.05	11.05
	14.75	14.741	14.746	14.744	14.742	14.745	14.742
	18.548	18.538	18.542	18.542	18.539	18.542	18.539
	18.85	18.854	18.857	18.855	18.85	18.853	18.855
	20.395	20.39	20.392	20.391	20.387	20.389	20.391
	27.24	27.231	27.233	27.229	27.23	27.227	27.225
	27.581	27.566	27.569	27.566	27.563	27.564	27.566
	28.722	28.722	28.725	28.724	28.721	28.721	28.727
	40.424	40.412	40.417	40.412	40.412	40.415	40.417
	42.097	42.074	42.072	42.07	42.055	42.045	42.027