模式识别实验指导书071005

Columns 41 through 48

0.7235 0.8765 1.2597 -0.1537 5.8664 1.4564 0.8619 1.2108 1.8883 2.6320 1.5465 0.4295 4.6099 2.7126 0.8788 3.3248

Columns 49 through 56

1.7689 3.9543 2.1305 3.5910 3.4501 2.8476 2.2794 1.7877 1.2711 1.4769 0.6973 2.7846 2.4393 2.0672 3.1551 1.4484

Columns 57 through 64

3.9710 1.9122 3.8749 3.1035 2.1726 1.0068 3.2602 3.4937 -0.2553 3.2665 3.2834 1.1804 3.9009 4.2703 2.6435 3.7896

Columns 65 through 72

1.8904 0.9381 2.6499 1.1209 -0.7602 0.9878 3.3209 2.6825 2.2168 1.6666 0.6734 -0.2885 3.4517 -0.8319 3.5121 1.2336

Columns 73 through 80

1.3980 1.7750 3.0315 4.3814 0.0746 1.0233 0.7370 2.3106 2.8502 2.4497 2.4605 2.5328 1.8479 1.9284 1.9925 2.9242

Columns 81 through 88

1.6755 2.5795 2.0735 1.2835 4.4952 2.1099 1.5293 4.2977 1.6345 4.2585 4.4371 3.7047 3.7777 2.2204 1.7801 2.4882

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Columns 89 through 96

0.5578 2.3503 1.9332 2.8394 1.9185 1.1366 2.6934 3.6876 2.7108 2.2008 3.1586 1.0979 2.2828 1.1050 0.7363 6.0314

Columns 97 through 100

0.8630 4.8719 0.7702 1.1824 2.5452 0.9279 2.4000 2.9063 y =

Columns 1 through 8

-4.0741 -2.2019 0.2772 2.5119 -2.6005 -2.7258 -0.9535 -2.6182 -3.6242 1.8317 -0.3543 -1.3855 -1.0020 -2.2239 -0.4317 -2.0749

Columns 9 through 16

1.1157 -2.9820 -0.7157 -4.8064 -2.1368 0.0204 -4.6403 -1.4024 -1.1429 -1.9817 -1.0701 3.5301 -0.3107 -2.6776 -3.6135 -3.0649

Columns 17 through 24

1.0383 0.0278 -3.8224 -1.7426 -0.8970 -3.1769 -2.6497 -1.0395 -2.4134 -3.3121 -3.0811 -2.6541 -0.7125 -3.1175 -1.9918 -2.0607

Columns 25 through 32

16

-2.9279 -5.6277 -3.2913 -0.3836 -6.5657 -6.9075 -4.9407 -2.4313 -3.3265 -2.0005 -1.7682 -2.1453 -0.7046 -3.2416 0.6713 -1.8313

Columns 33 through 40

1.1533 0.0380 -0.9046 0.4450 2.1135 -0.9418 -0.3634 0.2072 -0.2502 -1.9232 -1.7691 -3.5266 -1.1793 -2.3955 -1.7491 -2.2116

Columns 41 through 48

-2.7789 -0.4264 -1.5418 -4.5961 -3.1488 -3.2813 0.1521 0.3201 -2.8753 -3.1971 -5.1734 -1.7970 -1.2165 1.0112 1.8658 0.6457

Columns 49 through 56

1.7258 2.4568 1.0064 -2.8329 -2.2510 -2.2932 -0.4625 -2.1996 -3.2806 -1.3224 -1.5015 -3.4684 -3.3073 -1.0344 1.3012 -4.8685

Columns 57 through 64

-0.3933 -4.4781 -0.8298 -2.7694 -4.4012 -2.3012 -2.7238 4.4696 -1.9525 -3.9448 -4.2802 -2.8949 -7.0979 -1.7046 -2.1852 -2.5313

Columns 65 through 72

-0.2649 -0.5083 1.2236 -4.0723 -2.7961 -3.8391 -6.0491 -1.2649 0.8744 -3.6436 -1.7198 -1.0935 -1.5580 -0.2845 -1.1005 -7.1413

Columns 73 through 80

17

-0.7904 -4.9162 -0.8173 -3.0191 -1.5423 -3.4648 -3.9127 -1.0085 -0.1674 -1.8316 -1.9920 -6.5079 -1.1666 -3.2242 -2.6278 -1.7200

Columns 81 through 88

-3.0868 -2.2972 -3.3748 -1.1780 -3.1821 -3.7845 -1.4982 -1.7623 -0.3149 -4.3529 -1.3920 -1.1284 -0.0297 -5.7240 -2.0337 -2.7306

Columns 89 through 96

-2.0356 -3.1204 -1.6235 -1.6992 -4.8063 -2.9712 -5.5903 -3.5470 -2.3859 -0.1046 -0.6685 -3.2670 -0.1880 1.7160 -4.2020 -3.9663

Columns 97 through 100

-1.6145 2.1930 -2.3963 -5.2112 -0.5505 -5.9320 1.6841 -3.7229 请使用k-近邻法判断下列sample中样本的分类情况

（-0.7303，2.1624），（1.4445，-0.1649），（-1.2587，0.9187），（1.2617，-0.2086），（0.7302，1.6587）

18