📄 pca1.m
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data =[0.0744 0.0854 0.0744 0.0463 0.0768 0.0780
0.0854 0.0744 0.0463 0.0768 0.0780 0.0427
0.0744 0.0463 0.0768 0.0780 0.0427 0.0159
0.0463 0.0768 0.0780 0.0427 0.0159 0.0561
0.0768 0.0780 0.0427 0.0159 0.0561 0.0463
0.0780 0.0427 0.0159 0.0561 0.0463 0.0415
0.0427 0.0159 0.0561 0.0463 0.0415 0.0524
0.0159 0.0561 0.0463 0.0415 0.0524 0.0671
0.0561 0.0463 0.0415 0.0524 0.0671 0.0646
0.0463 0.0415 0.0524 0.0671 0.0646 0.0915
0.0415 0.0524 0.0671 0.0646 0.0915 0.1378
0.0524 0.0671 0.0646 0.0915 0.1378 0.1244
0.0671 0.0646 0.0915 0.1378 0.1244 0.0866
0.0646 0.0915 0.1378 0.1244 0.0866 0.1049
0.0915 0.1378 0.1244 0.0866 0.1049 0.0890
0.1378 0.1244 0.0866 0.1049 0.0890 0.0890
0.1244 0.0866 0.1049 0.0890 0.0890 0.1024
0.0866 0.1049 0.0890 0.0890 0.1024 0.0622
0.1049 0.0890 0.0890 0.1024 0.0622 0.0634
0.0890 0.0890 0.1024 0.0622 0.0634 0.0671
0.0890 0.1024 0.0622 0.0634 0.0671 0.0793
0.1024 0.0622 0.0634 0.0671 0.0793 0.1110
0.0622 0.0634 0.0671 0.0793 0.1110 0.1098
0.0634 0.0671 0.0793 0.1110 0.1098 0.1122
0.0671 0.0793 0.1110 0.1098 0.1122 0.0817
0.0793 0.1110 0.1098 0.1122 0.0817 0.0768
0.1110 0.1098 0.1122 0.0817 0.0768 0.0976
0.1098 0.1122 0.0817 0.0768 0.0976 0.0720
0.1122 0.0817 0.0768 0.0976 0.0720 0.0695
0.0817 0.0768 0.0976 0.0720 0.0695 0.0695
0.0768 0.0976 0.0720 0.0695 0.0695 0.0378
0.0976 0.0720 0.0695 0.0695 0.0378 0.0146
0.0720 0.0695 0.0695 0.0378 0.0146 0
0.0695 0.0695 0.0378 0.0146 0 0.0524
0.0695 0.0378 0.0146 0 0.0524 0.1646
0.0378 0.0146 0 0.0524 0.1646 0.2171
0.0146 0 0.0524 0.1646 0.2171 0.3451
0 0.0524 0.1646 0.2171 0.3451 0.4451
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0.2171 0.3451 0.4451 0.4183 0.4415 0.4280
0.3451 0.4451 0.4183 0.4415 0.4280 0.5183
0.4451 0.4183 0.4415 0.4280 0.5183 0.6402
0.4183 0.4415 0.4280 0.5183 0.6402 0.7329
0.4415 0.4280 0.5183 0.6402 0.7329 0.7463
0.4280 0.5183 0.6402 0.7329 0.7463 0.6890
0.5183 0.6402 0.7329 0.7463 0.6890 0.6061
0.6402 0.7329 0.7463 0.6890 0.6061 0.6366
0.7329 0.7463 0.6890 0.6061 0.6366 0.5817
0.7463 0.6890 0.6061 0.6366 0.5817 0.5878
0.6890 0.6061 0.6366 0.5817 0.5878 0.6207
0.6061 0.6366 0.5817 0.5878 0.6207 0.5817
0.6366 0.5817 0.5878 0.6207 0.5817 0.5976
0.5817 0.5878 0.6207 0.5817 0.5976 0.6878
0.5878 0.6207 0.5817 0.5976 0.6878 0.8122
0.6207 0.5817 0.5976 0.6878 0.8122 0.7634
0.5817 0.5976 0.6878 0.8122 0.7634 0.7085
0.5976 0.6878 0.8122 0.7634 0.7085 0.6866
0.6878 0.8122 0.7634 0.7085 0.6866 0.7402
0.8122 0.7634 0.7085 0.6866 0.7402 0.7451
0.7634 0.7085 0.6866 0.7402 0.7451 0.7378
0.7085 0.6866 0.7402 0.7451 0.7378 0.7146
0.6866 0.7402 0.7451 0.7378 0.7146 0.6951
0.7402 0.7451 0.7378 0.7146 0.6951 0.7390
0.7451 0.7378 0.7146 0.6951 0.7390 0.8561
0.7378 0.7146 0.6951 0.7390 0.8561 0.8476
0.7146 0.6951 0.7390 0.8561 0.8476 0.8463
0.6951 0.7390 0.8561 0.8476 0.8463 0.8988
0.7390 0.8561 0.8476 0.8463 0.8988 0.9963
0.8561 0.8476 0.8463 0.8988 0.9963 0.9671
0.8476 0.8463 0.8988 0.9963 0.9671 0.9646
0.8463 0.8988 0.9963 0.9671 0.9646 0.9780
0.8988 0.9963 0.9671 0.9646 0.9780 1.0000
0.9963 0.9671 0.9646 0.9780 1.0000 0.9659
0.9671 0.9646 0.9780 1.0000 0.9659 0.9110
0.9646 0.9780 1.0000 0.9659 0.9110 0.9049
0.9780 1.0000 0.9659 0.9110 0.9049 0.7915
1.0000 0.9659 0.9110 0.9049 0.7915 0.7805
0.9659 0.9110 0.9049 0.7915 0.7805 0.8366
0.9110 0.9049 0.7915 0.7805 0.8366 0.8378
0.9049 0.7915 0.7805 0.8366 0.8378 0.8317
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0.8366 0.8378 0.8317 0.5915 0.5646 0.5354
0.8378 0.8317 0.5915 0.5646 0.5354 0.5927
0.8317 0.5915 0.5646 0.5354 0.5927 0.6061
0.5915 0.5646 0.5354 0.5927 0.6061 0.5744
0.5646 0.5354 0.5927 0.6061 0.5744 0.4720
0.5354 0.5927 0.6061 0.5744 0.4720 0.3646
0.5927 0.6061 0.5744 0.4720 0.3646 0.3378
0.6061 0.5744 0.4720 0.3646 0.3378 0.3024
0.5744 0.4720 0.3646 0.3378 0.3024 0.2963
0.4720 0.3646 0.3378 0.3024 0.2963 0.2768
0.3646 0.3378 0.3024 0.2963 0.2768 0.2988
0.3378 0.3024 0.2963 0.2768 0.2988 0.3232
0.3024 0.2963 0.2768 0.2988 0.3232 0.2963
0.2963 0.2768 0.2988 0.3232 0.2963 0.2976
0.2768 0.2988 0.3232 0.2963 0.2976 0.3171
0.2988 0.3232 0.2963 0.2976 0.3171 0.2841
0.3232 0.2963 0.2976 0.3171 0.2841 0.3012
0.2963 0.2976 0.3171 0.2841 0.3012 0.3354
0.2976 0.3171 0.2841 0.3012 0.3354 0.3195
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0.2841 0.3012 0.3354 0.3195 0.3317 0.3122
0.3012 0.3354 0.3195 0.3317 0.3122 0.3659
0.3354 0.3195 0.3317 0.3122 0.3659 0.3476
0.3195 0.3317 0.3122 0.3659 0.3476 0.3427
0.3317 0.3122 0.3659 0.3476 0.3427 0.3476
0.3122 0.3659 0.3476 0.3427 0.3476 0.4110
0.3659 0.3476 0.3427 0.3476 0.4110 0.4573
0.3476 0.3427 0.3476 0.4110 0.4573 0.4707
0.3427 0.3476 0.4110 0.4573 0.4707 0.5000
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0.4110 0.4573 0.4707 0.5000 0.4366 0.4439
0.4573 0.4707 0.5000 0.4366 0.4439 0.4171
0.4707 0.5000 0.4366 0.4439 0.4171 0.4451
0.5000 0.4366 0.4439 0.4171 0.4451 0.4171
0.4366 0.4439 0.4171 0.4451 0.4171 0.3720
0.4439 0.4171 0.4451 0.4171 0.3720 0.3427
0.4171 0.4451 0.4171 0.3720 0.3427 0.3549
0.4451 0.4171 0.3720 0.3427 0.3549 0.3329
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0.3720 0.3427 0.3549 0.3329 0.3220 0.3622
0.3427 0.3549 0.3329 0.3220 0.3622 0.3988
0.3549 0.3329 0.3220 0.3622 0.3988 0.3732
0.3329 0.3220 0.3622 0.3988 0.3732 0.3451
0.3220 0.3622 0.3988 0.3732 0.3451 0.3378
0.3622 0.3988 0.3732 0.3451 0.3378 0.3244
0.3988 0.3732 0.3451 0.3378 0.3244 0.3256
0.3732 0.3451 0.3378 0.3244 0.3256 0.3244
0.3451 0.3378 0.3244 0.3256 0.3244 0.3134
0.3378 0.3244 0.3256 0.3244 0.3134 0.3183
0.3244 0.3256 0.3244 0.3134 0.3183 0.3927
0.3256 0.3244 0.3134 0.3183 0.3927 0.4085
0.3244 0.3134 0.3183 0.3927 0.4085 0.3780
0.3134 0.3183 0.3927 0.4085 0.3780 0.3988
0.3183 0.3927 0.4085 0.3780 0.3988 0.3671
0.3927 0.4085 0.3780 0.3988 0.3671 0.3683
0.4085 0.3780 0.3988 0.3671 0.3683 0.3610
0.3780 0.3988 0.3671 0.3683 0.3610 0.3695
0.3988 0.3671 0.3683 0.3610 0.3695 0.3744
0.3671 0.3683 0.3610 0.3695 0.3744 0.4171
0.3683 0.3610 0.3695 0.3744 0.4171 0.4000
0.3610 0.3695 0.3744 0.4171 0.4000 0.3622
0.3695 0.3744 0.4171 0.4000 0.3622 0.4146
0.3744 0.4171 0.4000 0.3622 0.4146 0.4634
0.4171 0.4000 0.3622 0.4146 0.4634 0.4439
0.4000 0.3622 0.4146 0.4634 0.4439 0.4951
0.3622 0.4146 0.4634 0.4439 0.4951 0.5232
0.4146 0.4634 0.4439 0.4951 0.5232 0.5817
0.4634 0.4439 0.4951 0.5232 0.5817 0.5854
0.4439 0.4951 0.5232 0.5817 0.5854 0.5427
0.4951 0.5232 0.5817 0.5854 0.5427 0.5293
0.5232 0.5817 0.5854 0.5427 0.5293 0.5817
0.5817 0.5854 0.5427 0.5293 0.5817 0.6305
0.5854 0.5427 0.5293 0.5817 0.6305 0.5902
0.5427 0.5293 0.5817 0.6305 0.5902 0.6049
0.5293 0.5817 0.6305 0.5902 0.6049 0.5439
0.5817 0.6305 0.5902 0.6049 0.5439 0.4622
0.6305 0.5902 0.6049 0.5439 0.4622 0.4841
0.5902 0.6049 0.5439 0.4622 0.4841 0.5415
0.6049 0.5439 0.4622 0.4841 0.5415 0.5171
0.5439 0.4622 0.4841 0.5415 0.5171 0.6000
0.4622 0.4841 0.5415 0.5171 0.6000 0.7256
0.4841 0.5415 0.5171 0.6000 0.7256 0.7537
0.5415 0.5171 0.6000 0.7256 0.7537 0.7341
0.5171 0.6000 0.7256 0.7537 0.7341 0.7220
0.6000 0.7256 0.7537 0.7341 0.7220 0.6963
0.7256 0.7537 0.7341 0.7220 0.6963 0.8134
0.7537 0.7341 0.7220 0.6963 0.8134 0.7805
0.7341 0.7220 0.6963 0.8134 0.7805 0.7976
0.7220 0.6963 0.8134 0.7805 0.7976 0.8500
0.6963 0.8134 0.7805 0.7976 0.8500 0.9049
0.8134 0.7805 0.7976 0.8500 0.9049 0.9220
0.7805 0.7976 0.8500 0.9049 0.9220 0.9061];
clc
close all
COEFF = princomp(data) %将n*p的矩阵进行主成分分析，返回p*p矩阵
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