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In order to distinguish eight carnation cultivars, 40 samples were analyzed by Fourier transform infrared (FTIR) spectroscopy combined with principal component analysis (PCA) and hierarchical cluster analysis (HCA). According to the results, infrared spectra of eight carnation cultivars were similar, but significant differences were observed in wave numbers and absorption peak intensities in the range of 1 800 - 700 cm. The second order derivative spectra in the range of 1 800 - 700 cm-1 were selected to perform principal component analysis (PCA) and hierarchical cluster analysis (HCA). The cumulative contribution rate of the first three principal components reached 96.2%. The classification accuracy rate of PCA and HCA was 95% and 100%, respectively. The results demonstrated that Fourier transform infrared (FTIR) spectroscopy combined with principal component analysis (PCA) and hierarchical cluster analysis (HCA) could be used for identification of different carnation cultivars. [ABSTRACT FROM AUTHOR]