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This process condenses extensive datasets right into a more compact set of agent factors. Significantly valuable in graphic and signal processing, k-indicates clustering aids in data reduction by changing teams of data details with their centroids, thus preserving the core info of the first data when drastically reducing the needed storage House.[3