Hi everyone,

Is there any method to measure similarity between two vectors in a set of vectors that takes into account the distribution of each attribute in that set ?

To explain by example : let's assume we have 10000 vectors <x1,x2,....,xn> , now we want to know how much is the similarity between two specific vectors in this dataset <t1,t2,....,tn> & <r1,r2,....,rn> , is there any method that takes into account the distribution of x1 & x2 & x3 & ... separately ?

I want to use in clustering data ,

Thanks

Arian