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spikar/GMM.py

Created June 23, 2019 10:15
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GMM.py
# TODO: Import GaussianMixture
from sklearn.mixture import GaussianMixture
# TODO: Create an instance of Gaussian Mixture with 3 components
gmm = GaussianMixture(n_components=3).fit(X)
# TODO: fit the dataset
gmm = gmm.fit(X)
# TODO: predict the clustering labels for the dataset
pred_gmm = gmm.predict(X)
# Plot the clusters
plt.figure( figsize=(16,12))
plt.scatter(X[:,0], X[:,1], c=pred_gmm, edgecolor='black', lw=1.5, s=100, cmap=plt.get_cmap('viridis'))
plt.show()
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