1. t-SNE
from sklearn.manifold import TSNE
X_proj = TSNE(random_state=123).fit_transform(X)
2. t_sne
_joint_probabilities_joint_probabilities(distances, desired_perplexity, verbose)- Compute joint probabilities p_ij from distances.
_kl_divergence_kl_divergence(params, P, alpha, n_samples, n_components)- t-SNE objective function: KL divergence of p_ijs and q_ijs.
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