In unsupervised machine learning, k-usually means clustering could be utilized to compress data by grouping equivalent data details into clusters. This system simplifies handling comprehensive datasets that lack predefined labels and finds common use in fields such as picture compression.[31][136] By refining the psychological types of people of AI