K Means, Kernel Trick, Clustering, Unsupervised Clustering, Data Science.
K-Means Notice that matrix D is fully derived from matrix B. In other words, the only variable in the vectorized objective is the assignment matrix B. X is the input data. D = inverse of BTB. You can use trace operators to show that minimizing the objective function in Figure 9 is equivalent to