| Química Nova | |
| Uma introdução à análise exploratória de dados multivariados | |
| José Machado Moita Neto2  Graziella Ciaramella Moita1  | |
| [1] ,Universidade Federal do Piauí Departamento de Química | |
| 关键词: cluster analysis; principal component analysis; dendrogram; | |
| DOI : 10.1590/S0100-40421998000400016 | |
| 来源: SciELO | |
PDF
|
|
【 摘 要 】
The modern technological 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 hierarchical cluster analysis that have received broad acceptance for treating chemical data are discussed.
【 授权许可】
CC BY-NC
All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202103040060537ZK.pdf | 238KB |
PDF