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In unsupervised machine learning, k-means clustering can be used to compress data by grouping comparable data points into clusters. This technique simplifies managing intensive datasets that deficiency predefined labels and finds common use in fields for instance impression compression.[31], from everyday responsibilities to Daring and imaginative