Number of vectors = 10	 Dim of features 5
   1    1    1    1    1    1    1    1    1    1
   0    1    2    3    4    5    6    7    8    9
   0    1    4    9   16   25   36   49   64   81
   0    1    8   27   64  125  216  343  512  729
   0    1   16   81  256  625 1296 2401 4096 6561
The output of Kernel PCA in shogun
 -0.639372   -0.639372    0.156968    0.156968    0.156968    0.156968    0.156968    0.156968    0.156968    0.156968
 5.2334e-15  5.2334e-15   -0.103533   0.0922926   0.0922926    0.312536    0.637498   -0.504281   -0.457184  -0.0696211
2.54697e-15 2.54697e-15   -0.162919   -0.154236   -0.154236   -0.137083  -0.0243636  -0.0514787   -0.236504     0.92082

The output of Tapkee
Number of vectors = 10	 Dim of features 3
          0 2.58362e-16     0.24789   -0.772769   -0.398228    0.284092    0.159754    0.159754    0.159754    0.159754
          0  2.7618e-16    0.299216    0.203138   -0.448506   -0.701306  -0.0695701     0.23901     0.23901     0.23901
   0.632456    0.632456   -0.158114   -0.158114   -0.158114   -0.158114   -0.158114   -0.158114   -0.158114   -0.158114