K Means, Kernel Trick, Clustering, Unsupervised Clustering, Data Science.
kernel methods are computationally cheaper than explicit feature mapping, you still have to compute the NxN kernel matrix, which may be computationally intensive if N (number of data points) is large. Using kernel K-Means it’s not easy to compute the cluster centroids like in regular K-Means. XBD