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In unsupervised machine learning, k-indicates clustering can be utilized to compress data by grouping very similar data details into clusters. This technique simplifies handling intensive datasets that deficiency predefined labels and finds common use in fields which include impression compression.[31]Learners might also disappoint by "learning the