Using the steps outlined in this video, implement K-means clustering using Pytorch pytorch.xyz libraries, for the unsupervised dataset created from the stacked m=2000 data points of the two bivariate Gaussian distributions below:
pytorch.xyz
A: mean μ=(−0.5,−0.5) and covariance matrix Σ=(10.250.251).
B: mean μ=(0.5,0.5) and covariance matrix Σ=(10.250.251).
In [2]:
# Place your code here import torch