In unsupervised machine learning, k-indicates clustering might be used to compress data by grouping identical data points into clusters. This technique simplifies managing in depth datasets that deficiency predefined labels and finds common use in fields including picture compression.[31]The blue line can be an illustration of overfitting a linear