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This process condenses substantial datasets into a extra compact set of agent points. Notably effective in impression and sign processing, k-indicates clustering aids in data reduction by replacing groups of data factors with their centroids, thereby preserving the core details of the initial data while appreciably lowering the required cupboard sp