Question

IN PYTHON 3 GIVING THIS CODE

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
N_samples = 2000
X = np.array(datasets.make_circles(n_samples=N_samples,
noise=0.05, factor=0.3)[0])
plt.scatter(X[:,0], X[:,1], alpha=0.8, s=64, edgecolors='white');

Use Spectral Clustering to cluster the points and visualize your result

Answer 1

NOTE: I Hope the below solution meets your requirements as per the question. Please Do UPVOTE if it does. :)

## Used to draw static images in the notebook
%matplotlib inline
# Importing numpy module as np
import numpy as np
# Importing pyplot function of the matplotlib module as plt
import matplotlib.pyplot as plt
# Importing datasets from sklearn module
from sklearn import datasets
# Setting the samples to 2000
N_samples = 2000
# Making the samples as a form of circles and storing it in a array
X = np.array(datasets.make_circles(n_samples = N_samples, noise = 0.05, factor = 0.3)[0])
# ploting the dataset for visualization
plt.scatter(X[:,0],X[:,1],alpha = 0.8, s = 64, edgecolors = 'white')

## Screenshot of the code with output: