@sid100158 wrote:
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?
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