Machine Learning, Clustering, Data Science, Unsupervised Learning, Towards Data Science.
when the probability function used is simply 1 if the data point is closest to a centroid and 0 otherwise. The fuzzy k-means algorithm is the following: Assume a fixed number of clusters K. Initialization: Randomly initialize the k-means μk associated with the clusters and compute the probability