Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/104423
Type: Artigo de periódico
Title: Non-supervised Pattern Recognition Methods: Exploring Chemometrical Procedures For Evaluating Analytical Data [reconhecimento De Padrões Por Métodos Não Supervisionados: Explorando Procedimentos Quimiométricos Para Tratamento De Dados Analíticos]
Author: Correia P.R.M.
Ferreira M.M.C.
Abstract: An activity for introducing hierarchical cluster analysis (HCA) and principal component analysis (PCA) during the Instrumental Analytical Chemistry course is presented. The posed problem involves the discrimination of mineral water samples according to their geographical origin. Thirty-seven samples of 9 different brands were considered and the results from the determination of Na, K, Mg, Ca, Sr and Ba were taken into account. Non-supervised methods for pattern recognition were explored to construct a dendrogram, score and loading plots. The devised activity can be adopted for introducing Chemometrics devoted to data handling, stressing its importance in the context of modern Analytical Chemistry.
Editor: 
Rights: aberto
Identifier DOI: 10.1590/S0100-40422007000200042
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-33947605878&partnerID=40&md5=9be411dcbf50dcf5ab09e3109d60ed4e
Date Issue: 2007
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
2-s2.0-33947605878.pdf313.06 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.