K Means, Kernel Trick, Clustering, Unsupervised Clustering, Data Science.
non-linear boundaries. Kernel methods are used to achieve linear separability of data in many different machine learning algorithms, the best-known example being support vector machines. The application of kernels to K-Means is less discussed, and we will go into great detail on this subject.