Abstract: A new correlative component analysis method was adopted to deal with the pattern classification problems of the complex chemical information. The classification correlation components obtained from the patterns of high dimensionality are not only mutually independent, but also concentrate pattern classification information from the original patterns. In order to select a reasonable number of components, an algorithm was proposed in this study, named ratio of correlative index method, in which the necessary number of components is fixed as the correlative components are calculated. Therefore, the original pattern was transformed to a compressed new pattern of lower dimensionality, and the characteristics of the new pattern was improved, thus the classification effectiveness was improved either. Finally, multi-classes example of spearmint essence was applied to check the validity of this new method. The results showed that, the calculation of this new method is really convenient and it is an applied method for multi classes classification problem of complex chemical information backgrounds.

Key words: Complex chemical information, Pattern classification, Dimension compressing, Classification correlative component, Ratio of correlative index