Clustering, Artificial Intelligence, Machine Learning, AI, Data Science.
probabilities. The process is repeated until the means and variances reach a stable state. from sklearn import mixture clustering=mixture.GaussianMixture(n_components) clustering.fit(X) # Train the model pred =clustering.predict (x) # Use the model Can we neglect the number of clusters parameter?