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This method condenses comprehensive datasets into a a lot more compact set of representative points. Particularly helpful in image and signal processing, k-means clustering aids in data reduction by changing teams of data factors with their centroids, thereby preserving the Main data of the initial data whilst appreciably lowering the essential sto