Classification of Microcrystalline Cellulose(MCC) by Principal Component Analysis and Cluster Analysis Method
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Classification of Microcrystalline Cellulose(MCC) by Principal Component Analysis and Cluster Analysis Method
Chinese Journal of Experimental Traditional Medical FormulaeVol. 17, Issue 19, Pages: 4-8(2011)
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Published:2011
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ZHANG Nan, ZHAO Guo-wei, ZHONG Shao-jin, et al. Classification of Microcrystalline Cellulose(MCC) by Principal Component Analysis and Cluster Analysis Method[J]. Chinese journal of experimental traditional medical formulae, 2011, 17(19): 4-8.
DOI:
ZHANG Nan, ZHAO Guo-wei, ZHONG Shao-jin, et al. Classification of Microcrystalline Cellulose(MCC) by Principal Component Analysis and Cluster Analysis Method[J]. Chinese journal of experimental traditional medical formulae, 2011, 17(19): 4-8.DOI:
Classification of Microcrystalline Cellulose(MCC) by Principal Component Analysis and Cluster Analysis Method
Objective: To study the application in classification of MCC by principal component analysis(PCA)and cluster analysis method. Method: Determined powder property and other physical properties of 12 kinds of PH101 and PH102 MCC types which obtained from 5 different manufacturers
then PCA and cluster analysis method were used to investigate the classification of MCC. Result: The same result was obtained from PCA and cluster analysis method
it revealed that the basis on classification of PH101 and PH102 MCC types by PCA. Conclusion: PCA and cluster analysis method can be applied to study the classification of MCC with the result was the same as classification of MCC in traditional production application.
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