The Definitive Guide to AI integration
This process condenses considerable datasets into a far more compact list of representative points. Specifically effective in image and signal processing, k-means clustering aids in data reduction by changing teams of data details with their centroids, thus preserving the core data of the original data while appreciably decreasing the needed storag