t-SNE visualisation example code in Python

 

Refer to code

..

from sklearn.manifold import TSNE

from keras.datasets import mnist

from sklearn.datasets import load_iris

from numpy import reshape

import seaborn as sns

import pandas as pd

iris = load_iris()

x = iris.data

y = iris.target

# from sklearn.utils import shuffle

# x, y = shuffle(x, y)

tsne = TSNE(n_components=2, verbose=1, random_state=123)

z = tsne.fit_transform(x)

df = pd.DataFrame()

df["y"] = y

df["comp-1"] = z[:,0]

df["comp-2"] = z[:,1]

sns.scatterplot(x="comp-1", y="comp-2", hue=df.y.tolist(),

palette=sns.color_palette("hls", 3),

data=df).set(title="Iris data T-SNE projection")

..

output