Converts the sets of multi-value features to short signatures. At first the feature value is transformed into a binaryzation, i.e. a 0/1 Vector, and the MinHashing applied on this vectors afterwards. If two multi-value feature sets are very similar with respect to the Jaccard-Similarity, then the two signatures will be similar as well with a high probability depending on the desired length of the signatures. For a signature of length n, the same amount of permutations will be created and the n-th element of the signature is determined by the index where the n-th permutation finds the finds the first 1 in the 0/1 Vector.