K Means, Kernel Trick, Clustering, Unsupervised Clustering, Data Science.
treating the cluster centroids (uᵢ’s) as fixed and computing cluster assignments (Cᵢ’s) and (b) treating the cluster assignments as fixed and computing cluster centroids. This article talks about the implementation of K-Means in more depth. Disadvantages of K-Means There are a variety of conditions