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,
File Improved algorithm for clustering tendency
Authors Fernández Pierna, J.A., Massart, D.