Given the propagation mechanism and Model-View-Controller architecture, can one view's interface be totally altered without changing the Model? Explain your selection?

In many cases, problem sets that are stated over strictly nominal feature sets do not lend themselves well to classification strategies that are based on vector spaces. Please tell me how much you agree or disagree with this statement. If you were doing ML classification on nominal data, which approach would you employ? Please respond to both of the questions posed above with detailed explanations.

We will go through in further depth some of the most important characteristics and actions of descriptive models.

Is it feasible to update the interface of one view in the Model-View-Controller architecture without modifying the Model, especially when the propagation mechanism is taken into account? If I may request an explanation, thank you.