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a guest Apr 22nd, 2013 15 Never
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  1.  Number of vectors = 10  Dim of features 5
  2.    1    1    1    1    1    1    1    1    1    1
  3.    0    1    2    3    4    5    6    7    8    9
  4.    0    1    4    9   16   25   36   49   64   81
  5.    0    1    8   27   64  125  216  343  512  729
  6.    0    1   16   81  256  625 1296 2401 4096 6561
  7. The output of Kernel PCA in shogun
  8.  -0.639372   -0.639372    0.156968    0.156968    0.156968    0.156968    0.156968    0.156968    0.156968    0.156968
  9.  5.2334e-15  5.2334e-15   -0.103533   0.0922926   0.0922926    0.312536    0.637498   -0.504281   -0.457184  -0.0696211
  10. 2.54697e-15 2.54697e-15   -0.162919   -0.154236   -0.154236   -0.137083  -0.0243636  -0.0514787   -0.236504     0.92082
  11.  
  12. The output of Tapkee
  13. Number of vectors = 10   Dim of features 3
  14.           0 2.58362e-16     0.24789   -0.772769   -0.398228    0.284092    0.159754    0.159754    0.159754    0.159754
  15.           0  2.7618e-16    0.299216    0.203138   -0.448506   -0.701306  -0.0695701     0.23901     0.23901     0.23901
  16.    0.632456    0.632456   -0.158114   -0.158114   -0.158114   -0.158114   -0.158114   -0.158114   -0.158114   -0.158114
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