The general term of this similarity matrix is: S(cli k , cli k ) = S kk = cli k , cli k .
then, we want to maximize the following clustering function: cli k and cli k have more chances to be in the same cluster providing that their similarity measure, S kk , is greater or equal to the mean average of positive similarities.