Machine Learning, Clustering, Data Science, Unsupervised Learning, Towards Data Science.
the set of samples closest to mi is empty, so that mi cannot be updated. This is a problem which needs to be handled during the implementation, but is generally ignored. The results depend on the value of k and there is no optimal way to describe a best “k”. This last problem is particularly