K Means, Kernel Trick, Clustering, Unsupervised Clustering, Data Science.
summed are equal to 100 (N, number of data points), and the dimension of the matrix is 4x4 (KxK, number of clusters). Also, notice that D can be derived completely from B, where D = inverse of BᵀB. Figure 5: Matrix D defined as the number of elements in each cluster inverted and placed on the