How can you combine K$-$means clustering and Bayesian to select the most suitable restaurant for the given user? The available data is $\{$age$,$ taste, choice of food and details of friends$\}$ and $\{$restaurant location, food menu, ambience and ratings$\}.$ Provide algorithm for learning and also

for testing.