title: [Pattern recognition applied to the fingerprint of traditional Chinese medicine characterized by two-dimension information data].
abstract: OBJECTIVE
  To establish the two-dimension information fingerprints chromatograph of traditional Chinese medicine and investigate via pattern recognition.
  
  
  METHODS
  Hierarchical cluster was applied to fingerprints described by one-dimension information data and by two-dimension information data respectively and corresponding results was compared.
  
  
  RESULTS
  The gross classes, in which the samples denoted by two-dimension information data, classified by all kinds of hierarchical cluster methods had less differences and more robustness than the methods containing the samples expressed by one-dimension information data. The classes to which the unknown samples would be belonged were determined by hierarchical cluster analysis and artificial neural network (ANN), and the same results were obtained.
  
  
  CONCLUSIONS
  The fingerprints characterized by two-dimension information data could provide more overall and special information as compared with the methods indicated by one-dimension information data.
authors.affiliation: Pharmic Institute of Tsinghua University, Beijing 100084, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Nie
authors.forename: Guo-an
authors.initials: GA
authors.lastname: Luo
authors.forename: Jin
authors.initials: J
authors.lastname: Cao
authors.forename: Yi-ming
authors.initials: YM
authors.lastname: Wang
mesh_terms: D002851:Chromatography, High Pressure Liquid / Q000379:methods; D016000:Cluster Analysis; D004365:Drugs, Chinese Herbal / Q000737:chemistry* / Q000302:isolation & purification; D005419:Flavonoids / Q000737:chemistry / Q000302:isolation & purification; D020441:Ginkgo biloba / Q000737:chemistry; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated; D010598:Pharmacognosy; D010946:Plants, Medicinal / Q000737:chemistry* / Q000145:classification; D013045:Species Specificity
chemical_list: D004365:Drugs, Chinese Herbal; D005419:Flavonoids