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image.shape[1] image = image.reshape(rows*cols, 3) The next step is to run the K-means algorithm with k=6. kmeans = KMeans(n_clusters=6) kmeans.fit(image) Now, replace each pixel value with nearby centroids. compressed_image = kmeans.cluster_centers_[kmeans.labels_] compressed_image =