Which of the distance between cluster is best for clustering?



I am currently studying about clustering while clustering I have studied three type distance

Euclidean Distance

Manhattan Distance - Sum of absolute values of squares.

Maximum coordinate Distance - Only consider measurement for which data point deviate the most.

I want to know which of these distance is best for clustering and why?