Application of the Multi-resource Data Cluster Analysis in the Plant Classification and the Identification and Assessment of Traditional Chinese Medicine
- VernacularTitle:多源数据聚类分析在植物分类和中药鉴定中的应用研究
- Author:
Liping HUANG
;
Jian ZUO
;
Conglan JI
- Publication Type:Journal Article
- Keywords:
Multi-resource data;
Cluster analysis;
Plant classification;
Identification and assessment of traditional Chinese medicine
- From:
China Pharmacy
2007;0(30):-
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To establish a cluster analysis method applied in plant classification and the identification and assessment of traditional Chinese medicine.METHODS:The raw data of the shape,the chemical composition and the UV-spectra data of plants were collected,and these data were assigned with values in accordance with the binary assignment then subjected to a cluster analysis.RESULTS:The 11 species of plants under study were accurately classified into the proper categories by the new method.CONCLUSION:By this method,the analytic data are comprehensive and the conclusion is detailed and reliable,which serves as the supplement and development for traditional cluster analysis method.
