In unsupervised machine learning, k-means clustering can be used to compress data by grouping related data factors into clusters. This technique simplifies managing comprehensive datasets that absence predefined labels and finds prevalent use in fields including image compression.[29] Affiliation rule learning is really a rule-centered machine l