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In unsupervised machine learning, k-implies clustering is often used to compress data by grouping identical data details into clusters. This method simplifies handling intensive datasets that deficiency predefined labels and finds popular use in fields such as image compression.[31]Industry knowledge: Typically, it’s not more than enough that a g