Adaptive Principal Component Analysis Combined with Feature Extraction-Based Method for Feature Identification in Manufacturing

Table 9

Results using the PCA/feature extraction-based method for detecting the class samples, T (rows): true values, P (columns): predicted values.

	A	B	C	D
A	492	13	5	2
B	10	491	8	3
C	0	9	492	11
D	1	6	12	493