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Research on Data Mining of Complex Multi-dimensional Fingerprint Data of TCM |
Tong Yifu, Huang Chunyi |
School of Public Administration, Sichuan University, Chengdu 610064, China |
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Abstract Grounded on the R open source statistic environment, this paper builds a data mining model on the complex HPLC multi-dimensional fingerprint data with visualization analysis. The result fully reflects that PCA can be used as a model to reveal the principles of multi-dimensional data, and verifies the validity and practicality of principal component and cluster analysis and neural network to reveal the character of multi-dimensional data. Finally, based on the results of PCA and cluster analysis, this paper builds a training network model through techniques of machine learning and other related statistical algorithm to predict the habitat of unknown TCM sample, which supplies sufficient evidences to the TCM quality control.
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Received: 25 October 2011
Published: 02 February 2012
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