This repository implements K-Means clustering for color quantization in images, running on CPU. The program reduces the number of colors in an image while maintaining visual quality, making it useful for compression and artistic effects.

This is a GPU-accelerated version of K-Means color quantization using CUDA and PyTorch, significantly speeding up the clustering process compared to CPU execution.