There was a tiger in a forest. It decides the hunting area and animals to target based on Bayesian decision making? Assume suitable data and give detailed algorithm with pseudo code. What could be prior probability and what could be posterior probability in this case? Tiger realizes that it is not yielding the desired results and thinks of using K$-$means to improve the algorithm further. What additional data is required? Give the improved algorithm.