In unsupervised machine learning, k-signifies clustering is usually utilized to compress data by grouping comparable data details into clusters. This technique simplifies handling intensive datasets that lack predefined labels and finds widespread use in fields which include image compression.[29]Even though the upfront charges of adopting automati