#source code for t-distributed stochastic neighbor embedding (t-SNE)

import numpy as np

files=os.listdir("data/")
print(files)
os.chdir("data/")

#similarities between 2 objects

def similarity(x1,x2):
	pass

#minimization of the Kullback-Leibler using gradient descent

