Create a novel feature space based on k – mers that can be retrieved from unaligned sequence data. Purpose of these new features is to facilitate the effective application of machine learning algorithms in various scenarios. The method examines all values of k within a user-defined range, starting from lower k-values, assigning scores to k-mers, keeping those of highest scores, and proceeding to higher k – values (Pruning trees).