In unsupervised machine learning, k-suggests clustering might be used to compress data by grouping equivalent data points into clusters. This method simplifies handling considerable datasets that absence predefined labels and finds prevalent use in fields which include image compression.[29]For instance, an algorithm could possibly be fed a scaled-