Machine Learning, Clustering, Python, Gaussian Mixture Model, Unsupervised Learning.
0.00709653 1.03641711]]] Precisions: [[[11.74383346 0.08990895] [ 0.08990895 0.98397883]] [[ 6.23435734 0.10022716] [ 0.10022716 0.9646612 ]] [[10.55160153 -0.07224865] [-0.07224865 0.96535719]]] """ GMMs are particularly beneficial when dealing with complex data distributions, heterogeneous