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This process condenses comprehensive datasets right into a more compact set of consultant points. Specially helpful in graphic and signal processing, k-signifies clustering aids in data reduction by replacing teams of data points with their centroids, thereby preserving the Main details of the initial data even though significantly reducing the dem