In unsupervised machine learning, k-usually means clustering could be used to compress data by grouping very similar data factors into clusters. This technique simplifies managing considerable datasets that absence predefined labels and finds prevalent use in fields which include graphic compression.[29]It identifies clusters as dense areas while i