PLS(-)Cluster: a novel technique for cluster analysis

• Type: Article in International Scientific Journal
• Date: 2004

Authors

Barros, AS (Author) Other; Rutledge, DN (Author) Other

Journal

Title: Chemometrics and Intelligent Laboratory Systems

Vol. 70

Pages: 99-112

ISSN: 0169-7439

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 11 Citations

Scopus - 11 Citations

Other information

Authenticus ID: P-000-BJR

DOI: 10.1016/j.chemolab.2003.08.002

Abstract (EN): A novel cluster analysis technique (PLS_Cluster) is proposed in this work. The method is based on the well-known PLS-regression procedure using a "self-organizing" mechanism to accomplish a clustering of the data. The implementation of this technique is straightforward and it provides several diagnostic insights into the reasons for clustering, by studying the obtained dendrogram, and by examining various statistical properties associated with the nodes. At each node it is possible to recover all the regression vectors common to PLS (loading X, loadings W, and B-coefficients) along with the scores X and scores y. This work presents the application of DiPLS_Cluster (a particular case of PLS_Cluster) to the analysis of several datasets and demonstrates the potentiality of this novel technique.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14