Therefore, Equation (4) becomes: Each row in the RBF kernel matrixK is now interpreted as a feature vector, going from step S2 to step S3 in Figure 2.
each sample z i is represented by a feature vector that contains the similarity between the respective sample z i and all the samples in Z (step S3 in Figure 2).