In unsupervised machine learning, k-implies clustering is usually used to compress data by grouping comparable data points into clusters. This technique simplifies managing extensive datasets that lack predefined labels and finds popular use in fields like image compression.[31]Polices that really encourage innovation and Protected and helpful util