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In unsupervised machine learning, k-usually means clustering is often used to compress data by grouping comparable data points into clusters. This technique simplifies handling in depth datasets that absence predefined labels and finds popular use in fields such as picture compression.[31]Transfer learning, during which understanding acquired throu