Exploring tSNE

tsne.py

import pandas
import numpy as np
import matplotlib.pyplot as plt
from sklearn.manifold import TSNE

from ucimlrepo import fetch_ucirepo 
breast_cancer_wisconsin_diagnostic = fetch_ucirepo(id=17) 
X = breast_cancer_wisconsin_diagnostic.data.features 
y = breast_cancer_wisconsin_diagnostic.data.targets 

for p in range(1,50):
  tsne = TSNE(n_components = 2, perplexity = p, random_state = 0)
  X_tsne = tsne.fit_transform(X)
  plt.scatter(X_tsne[:,0], X_tsne[:,1], c=X_tsne[:,1])
  plt.show()