In unsupervised machine learning, k-suggests clustering is often utilized to compress data by grouping related data details into clusters. This method simplifies dealing with in depth datasets that lack predefined labels and finds popular use in fields for instance impression compression.[29]Semi-supervised learning is frequently used to train algo