Research Article

Constructing a Method for an Evaluation Index System Based on Graph Distance Classification and Principal Component Analysis

Table 2

Correlation coefficient matrix.Table 2 is reproduced from Mikoni [10] (under the Creative Commons Attribution License/public domain).


1.000.400.690.37−0.60−0.46−0.470.33−0.550.32−0.720.800.830.770.360.60
0.401.000.860.970.120.030.21−0.450.090.910.060.330.13−0.03−0.35−0.30
0.690.861.000.90−0.39−0.47−0.31−0.34−0.420.90−0.440.400.340.21−0.27−0.05
0.370.970.901.00−0.01−0.110.08−0.50−0.050.96−0.050.260.06−0.08−0.39−0.33
−0.600.12−0.39−0.011.000.910.95−0.250.99−0.140.96−0.23−0.32−0.35−0.24−0.55
−0.460.03−0.47−0.110.911.000.960.150.94−0.290.850.07−0.20−0.210.18−0.18
−0.470.21−0.310.080.950.961.00−0.080.97−0.100.880.02−0.22−0.25−0.02−0.39
0.33−0.45−0.34−0.50−0.250.15−0.081.00−0.15−0.59−0.280.610.380.450.980.93
−0.550.09−0.42−0.050.990.940.97−0.151.00−0.200.94−0.14−0.25−0.27−0.13−0.46
0.320.910.900.96−0.14−0.29−0.10−0.59−0.201.00−0.110.06−0.10−0.23−0.52−0.36
−0.720.06−0.44−0.050.960.850.88−0.280.94−0.111.00−0.41−0.55−0.58−0.30−0.57
0.800.330.400.26−0.230.070.020.61−0.140.06−0.411.000.790.760.700.68
0.830.130.340.06−0.32−0.20−0.220.38−0.25−0.10−0.550.791.000.990.430.52
0.77−0.030.21−0.08−0.35−0.21−0.250.45−0.27−0.23−0.580.760.991.000.500.56
0.36−0.35−0.27−0.39−0.240.18−0.020.98−0.13−0.52−0.300.700.430.501.000.90
0.60−0.30−0.05−0.33−0.55−0.18−0.390.93−0.46−0.36−0.570.680.520.560.901.00