AI INNOVATION CONSULTING FOR DUMMIES

This process condenses in depth datasets into a extra compact set of representative points. Specifically valuable in impression and signal processing, k-usually means clustering aids in data reduction by replacing teams of data points with their centroids, thus preserving the core info of the first data whilst drastically lowering the essential cup