In unsupervised machine learning, k-implies clustering may be used to compress data by grouping very similar data factors into clusters. This technique simplifies dealing with substantial datasets that absence predefined labels and finds prevalent use in fields like graphic compression.[29]Process automation can raise company efficiency and efficie