A Novel Efficient Feature Dimensionality Reduction Method and Its Application in Engineering

Table 5

Optimization selection results of dynamic response features.

Test number	Features selected	R^2	Distance
1	[1, 3, 4, 7, 8, 12, 13]	0.9959	−0.5574
2	[1, 3, 4, 12, 13, 15]	0.9934	0.3557
3	[2, 3, 4, 13]	0.9939	0.9049
4	[1, 4, 8, 9]	0.9948	−1.4350
5	[2, 3, 4, 13]	0.9944	−0.0074
6	[1, 3, 4, 8, 9, 14]	0.9890	−1.2500
7	[2, 3, 4, 13]	0.9944	−0.5321
8	[2, 3, 4, 6, 10, 12]	0.9904	−1.0486
9	[1, 4, 8, 9]	0.9932	−1.4712
10	[1, 3, 4, 9, 11, 13]	0.9823	−0.3755
11	[2, 4, 7, 13, 14]	0.9892	−0.9510
12	[3, 4, 8, 13, 14, 15]	0.9649	0.4839