Red peony root intelligence quality assessment based on data mining

According to the traditional morphological classification divide the quality of traditional Chinese medicine Red Peony Root into first grade and second grade. Discrete the chromatography data of the Red Peony Root which obtained under the condition of standard test obtain the great peaks of linear independent vectors and obtain Red Peony Root every clustering centre data with constrictive gene PSO and Variable metric optimization. Make the criterion and sample data of Red Peony Root as Gamma distribution to calculate similar and ensure the final similar with correlative coefficient and it needs gauss integral and upper Newton interpolation. This research methods handy celerity and evaluate the similar between tested sample and common pattern with similar in the basic of establishing fingerprint common pattern. It is response the merits of Red Peony Root.