| Revista: | Quimica nova |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000313401 |
| ISSN: | 0100-4042 |
| Autors: | Correia, Paulo R.M1 Ferreira, Marcia M.C2 |
| Institucions: | 1Universidade de Sao Paulo, Escola de Artes, Ciencias e Humanidades, Sao Paulo. Brasil 2Universidade Estadual de Campinas, Instituto de Quimica, Campinas, Sao Paulo. Brasil |
| Any: | 2007 |
| Període: | Abr |
| Volum: | 30 |
| Número: | 2 |
| Paginació: | 481-487 |
| País: | Brasil |
| Idioma: | Portugués |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | 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 |
| Disciplines | Ciencias de la computación, Química |
| Paraules clau: | Química analítica, Quimiometría, Reconocimiento de patrones, Análisis jerárquico de agrupamientos, Análisis de componentes principales |
| Keyword: | Computer science, Chemistry, Analytical chemistry, Chemometry, Pattern recognition, Hierarchical cluster analysis, Principal component analysis |
| Text complet: | Texto completo (Ver HTML) |
