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in this session we are going to discuss proximity measure for symmetric versus a symmetric binary variables for binary variables we usually represent their occurrences using contingency table okay suppose we have two objects I and J the number of times they both appear could be Q they both missing could be T cases I appears and J does not are there are cases and I does not appear and J appears s times then for symmetric binary variables that means the chance they appear or they not appear actually have equivalent chances or provenance same chances we call this is a symmetric binary variables in that case their distance like our and as these two cases they are different so their distance measure is R plus s divided by all the cases for a symmetric binary usually we assume the they both appear the case is much rarer than they both not appearing okay so for these asymmetric variables they are different these are the plus s but they they both you know not appearing that case X is T this is