Improved algorithm for clustering tendency
- Fernández Pierna, J.A. & Massart, D. (2000). Improved algorithm for clustering tendency. Anal. Chim. Acta, 408: (1-2), 13-20.
| Type | Journal Article |
| Year | 2000 |
| Title | Improved algorithm for clustering tendency |
| Journal | Anal. Chim. Acta |
| Label | U15-0523-fernandez-2000 |
| Recnumber | 346 |
| Volume | 408 |
| Issue | 1-2 |
| Pages | 13-20 |
| Date | 09/03/2000 |
| Endnote Keywords | multivariate calibration, chemometrics, principal component analysis, cluster|spectra|sets| |
| Abstract | A modification of the Hopkins algorithm for clustering tendency is described in this study. Detection of clustering is an important problem in multivariate calibration. With this modified algorithm, the automatic detection of clusters, before any modelling, is carried out. (C) 2000 Elsevier Science B.V. All rights reserved. |
| Notes | EnglishArticleANAL CHIM ACTA293ED |
| Author address | Fernandez Pierna Juan Antonio, Quality Department of Agro-food Products, Walloon Agricultural Research Centre (CRA-W), Chaussée de Namur, 24, B-5030 Gembloux, fernandez@cra.wallonie.be |
| Fichier | |
| Authors | Fernández Pierna, J.A., Massart, D. |
