Runs realized changing the specific parameters of Random Indexing as the number of dimensions and the number of training cycles show that the optimum partition realized with the Sub-target vector algorithm using 9 subtargets doest not change significantly (between 0.740 and 0.746 for the Precision and between 0.708 and 0.718 for Recall).
target vectors will be more sensible to typical documents and less sensible to non-typical documents.