主成分分析法matlab实现_实例演示(7)
发布时间:2021-06-07
发布时间:2021-06-07
-0.0522 -0.0280 0.2040 -0.0492 -0.5472 -0.4225 0.3440 0.3188 -0.4438 0.2401
0.0067 -0.4176 -0.2856 -0.2389 0.1926 -0.4915 -0.4189 0.2726 0.2065 0.3403 0.0404 0.1408 0.0896 0.0380 -0.1969 -0.0437 -0.4888 -0.6789 -0.4405 0.1861 -0.0343 0.2360 0.0640 -0.8294 0.0377 0.2662 0.1356 -0.1290 0.0278 0.3782 0.2981 0.4739 0.5685 0.2358 0.1465 -0.1502 -0.2631 0.1245 0.2152 0.3644 0.1567 0.3464 -0.6485 0.2489 -0.4043 0.2058 -0.0704 0.0462 0.1214 0.3812 0.4879 -0.5707 0.1217 0.1761 0.0987 0.3550 0.3280 -0.0139 0.0071 0.3832 -0.7894 -0.1628 0.1925 0.2510 -0.0422 0.2694 0.0396 0.0456 0.1668 0.3799
特征值(val)
val =
0.0039 0 0 0 0 0 0 0 0 0 0 0.0240 0 0 0 0 0 0 0 0 0 0 0.0307 0 0 0 0 0 0 0 0 0 0 0.0991 0 0 0 0 0 0 0 0 0 0 0.1232 0 0 0 0 0 0 0 0 0 0 0.2566 0 0 0 0 0 0 0 0 0 0 0.3207 0 0 0 0 0 0 0 0 0 0 0.5300 0 0 0 0 0 0 0 0 0 0 2.3514 0 0 0 0 0 0 0 0 0 0 6.2602
特征根排序: 6.26022 2.35138 0.530047 0.320699 0.256639 0.123241 0.0990915 0.0307088 0.0240355 0.00393387
各主成分贡献率:
newrate =
0.6260 0.2351 0.0530 0.0321 0.0257 0.0123 0.0099 0.0031 0.0024 0.0004
第一、二主成分的载荷:
0.690 1 -0.6427
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