The present study aims to evaluate the clustering pattterns obtained from various numerical techniques applied to 16 natural populations with 16 morphological characters. Seven similarity coefficients and three clustering methods were used. Twenty-one phenograms were drawn from the results and were also compared with taxonomic hierarchies determined by traditional methods. Consequently two numerical techniques were suggested for further taxonomic study on this group of plants.