In unsupervised machine learning, k-suggests clustering is often used to compress data by grouping equivalent data factors into clusters. This method simplifies handling intensive datasets that deficiency predefined labels and finds common use in fields which include graphic compression.[31]Gaussian processes are common surrogate products in Bayesi