Question 7. The following statements about data mining are incorrect. Please state the mistake(s) in each statement (3 marks) a. Support Vector Machine (SVM) aims at maximizing the hyperplane's margin, which is equivalently, maximizing ||w||. b. Kernel is to bend the hyperplane so that SVM can separate nonlinear separable points. c. Hierarchical clustering algorithm is an example of supervised learning while K- mean clustering algorithm is an example of unsupervised learning