Clustering, Segmentation, Data Science, Remote Sensing, Satellite.
Class][['R', 'G', 'B']].mean().values for Class in data.loc[:,'C1':f'C{K}'].columns]) i+=1 print(f'Iteration: {i}\tDistance: {abs(new_centroids.mean()-old_centroids.mean())}') print(f"k-Means has ended with {i} iteratinons") return data, L On the first stage we create a list L to collect all the