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This process condenses in depth datasets right into a more compact list of consultant factors. Specifically helpful in graphic and signal processing, k-suggests clustering aids in data reduction by replacing teams of data factors with their centroids, thereby preserving the core data of the first data even though appreciably reducing the necessary