In unsupervised machine learning, k-indicates clustering is usually utilized to compress data by grouping very similar data factors into clusters. This technique simplifies dealing with extensive datasets that lack predefined labels and finds prevalent use in fields including graphic compression.[29] One example is, an algorithm could possibly b