K Means, Kernel Trick, Clustering, Unsupervised Clustering, Data Science.
diagonal Figure 6: Example matrix D, dimensions KxK Matrix X Matrix X is the input data points arranged as columns. Each data point (xᵢ) is a vector of dimension M. Figure 7: Example matrix X, dimension MxN The matrix product XBD then represents the matrix of cluster centroids, having dimension M