Scikit Tsne
>>> import numpy as np
>>> from sklearn.manifold import TSNE
>>> X = np.array([[0, 0, 0], [0, 1, 1], [1, 0, 1], [1, 1, 1]])
>>> X_embedded = TSNE(n_components=2, learning_rate='auto',
... init='random').fit_transform(X)
>>> X_embedded.shape
(4, 2)
Real Raccoon