In [1]:

    

from sklearn.decomposition import KernelPCA


    

In [2]:

    

import matplotlib.pyplot as plt


    

In [3]:

    

%matplotlib inline


    

In [4]:

    

from sklearn.datasets import load_digits
X,Y = load_digits().data,load_digits().target


    

In [7]:

    

kpca = KernelPCA(gamma=0.1,kernel='rbf',fit_inverse_transform=True)
X_ = kpca.fit_transform(X)


    

In [8]:

    

plt.scatter(X_[:,0],X_[:,1],c=Y,cmap='rainbow',linewidths=0,s=4)


    

    
Out[8]:





<matplotlib.collections.PathCollection at 0x10fb0eb50>






    

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