The results obtained from the unsupervised pattern recognition techniques (HCA and PCA) combined by FTIR let us classify the samples into discriminate clusters in accordance with their geographical origin, which reflect the notable similarity among the pollen samples chemical composition. As a result, a more accurate segregation is demanded to be achieved between the pollen samples from different Algerian regions. Consequently, must supervised recognition techniques (SIMCA, PLS, etc.) were adopted to further ascertain the results obtained from the unsupervised techniques.