To base classification and possible identification upon the whole chemical information contained in the pollen, we used a multivariate method. For an evaluation of the overall variance between different pollen, and to obtain an unbiased perspective on possible chemical differences, we aim at a classification method that does not require the preselecting of chemical parameters or weighting of input information. As a consequence, we chose to use PCA and HCA as an unsupervised method. We applied PCA and HCA to a spectral data set containing seventy-two spectra from different samples from thirteen regions different using almost the full spectrum (500-4000 cm -1 ).