Support Vector Machine, Svm, Svm Algorithm, Svm Classifier, Machine Learning.
is represented by a kernel function, denoted as K(x, x’), which takes two input feature vectors, x and x’, and calculates their similarity or inner product in the transformed feature space. The kernel function effectively replaces the dot product operation in the feature space without explicitly