iris training data.txt

K-mean算法

   0.224  0.624  0.067  0.043  1.0    0.0    0.0
   0.749  0.502  0.627  0.541  0.0    1.0    0.0
   0.557  0.541  0.847  1.000  0.0    0.0    1.0
   0.110  0.502  0.051  0.043  1.0    0.0    0.0
   0.722  0.459  0.663  0.584  0.0    1.0    0.0
   0.776  0.416  0.831  0.831  0.0    0.0    1.0
   0.196  0.667  0.067  0.043  1.0    0.0    0.0
   0.612  0.333  0.612  0.584  0.0    1.0    0.0
   0.612  0.416  0.812  0.875  0.0    0.0    1.0
   0.055  0.584  0.067  0.082  1.0    0.0    0.0
   0.557  0.541  0.627  0.624  0.0    1.0    0.0
   0.165  0.208  0.592  0.667  0.0    0.0    1.0
   0.027  0.376  0.067  0.043  1.0    0.0    0.0
   0.639  0.376  0.612  0.498  0.0    1.0    0.0
   0.667  0.208  0.812  0.710  0.0    0.0    1.0
   0.306  0.710  0.086  0.043  1.0    0.0    0.0
   0.196  0.000  0.424  0.376  0.0    1.0    0.0
   0.612  0.502  0.694  0.792  0.0    0.0    1.0
   0.137  0.416  0.067  0.000  1.0    0.0    0.0
   0.471  0.082  0.510  0.376  0.0    1.0    0.0
   0.694  0.416  0.761  0.831  0.0    0.0    1.0
   0.416  0.831  0.035  0.043  1.0    0.0    0.0
   0.361  0.376  0.439  0.498  0.0    1.0    0.0
   0.416  0.333  0.694  0.957  0.0    0.0    1.0
   0.306  0.792  0.051  0.125  1.0    0.0    0.0
   0.361  0.416  0.592  0.584  0.0    1.0    0.0
   0.612  0.416  0.761  0.710  0.0    0.0    1.0
   0.388  0.749  0.118  0.082  1.0    0.0    0.0
   0.529  0.082  0.592  0.584  0.0    1.0    0.0
   0.945  0.251  1.000  0.918  0.0    0.0    1.0
   0.306  0.584  0.118  0.043  1.0    0.0    0.0
   0.443  0.502  0.643  0.459  0.0    1.0    0.0
   0.722  0.502  0.796  0.918  0.0    0.0    1.0
   0.082  0.667  0.000  0.043  1.0    0.0    0.0
   0.557  0.208  0.663  0.584  0.0    1.0    0.0
   0.945  0.333  0.965  0.792  0.0    0.0    1.0
   0.137  0.584  0.153  0.043  1.0    0.0    0.0
   0.584  0.376  0.561  0.498  0.0    1.0    0.0
   0.667  0.541  0.796  0.831  0.0    0.0    1.0
   0.196  0.584  0.102  0.125  1.0    0.0    0.0
   0.694  0.333  0.643  0.541  0.0    1.0    0.0
   0.529  0.333  0.643  0.710  0.0    0.0    1.0
   0.251  0.584  0.067  0.043  1.0    0.0    0.0
   0.471  0.376  0.592  0.584  0.0    1.0    0.0
   0.584  0.333  0.780  0.831  0.0    0.0    1.0
   0.137  0.459  0.102  0.043  1.0    0.0    0.0
   0.333  0.169  0.475  0.416  0.0    1.0    0.0
   0.863  0.333  0.863  0.749  0.0    0.0    1.0
   0.251  0.875  0.086  0.000  1.0    0.0    0.0
   0.416  0.290  0.490  0.459  0.0    1.0    0.0
   0.584  0.333  0.780  0.875  0.0    0.0    1.0
   0.165  0.459  0.086  0.043  1.0    0.0    0.0
   0.306  0.416  0.592  0.584  0.0    1.0    0.0
   0.498  0.251  0.780  0.541  0.0    0.0    1.0
   0.333  0.624  0.051  0.043  1.0    0.0    0.0
   0.667  0.459  0.627  0.584  0.0    1.0    0.0
   0.557  0.584  0.780  0.957  0.0    0.0    1.0
   0.027  0.416  0.051  0.043  1.0    0.0    0.0
   0.361  0.416  0.525  0.498  0.0    1.0    0.0
   0.471  0.416  0.643  0.710  0.0    0.0    1.0
   0.196  0.624  0.051  0.082  1.0    0.0    0.0
   0.333  0.251  0.576  0.459  0.0    1.0    0.0
   0.667  0.459  0.780  0.957  0.0    0.0    1.0
   0.027  0.502  0.051  0.043  1.0    0.0    0.0
   0.416  0.251  0.510  0.459  0.0    1.0    0.0
   0.416  0.290  0.694  0.749  0.0    0.0    1.0
   0.224  0.749  0.153  0.125  1.0    0.0    0.0
   0.361  0.290  0.541  0.498  0.0    1.0    0.0
   0.667  0.541  0.796  1.000  0.0    0.0    1.0
   0.224  0.749  0.102  0.043  1.0    0.0    0.0
   0.388  0.376  0.541  0.498  0.0    1.0    0.0
   0.557  0.208  0.678  0.749  0.0    0.0    1.0
   0.278  0.710  0.086  0.043  1.0    0.0    0.0
   0.224  0.208  0.337  0.416  0.0    1.0    0.0
   0.529  0.584  0.745  0.918  0.0    0.0    1.0