Uma introdução à análise exploratória de dados multivariados

Abstract

The modern technologi- cal ability to handle large amounts of information confronts the chemist with the necessity to re-evaluate the statistical tools he routinely uses. Multivariate statistics furnishes theoretical bases for analyzing systems involving large numbers of variables. The mathematical calculations required for these systems are no longer an obstacle due to the existence of statistical packages that furnish multivariate analysis options. Here basic concepts of two multivariate statistical techniques, principal component and hierar- chical cluster analysis that have received broad acceptance for treating chemical data are discussed.