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This process condenses considerable datasets right into a additional compact list of consultant points. Especially valuable in graphic and signal processing, k-usually means clustering aids in data reduction by changing groups of data details with their centroids, thus preserving the Main facts of the original data though significantly decreasing t

This process condenses intensive datasets into a additional compact list of representative factors. Significantly advantageous in graphic and signal processing, k-indicates clustering aids in data reduction by changing groups of data points with their centroids, thereby preserving the Main data of the original data though appreciably reducing the n