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SOMPLS: A supervised self-organising map--partial least squares algorithm for multivariate regression problems

Chemometrics and Intelligent Laboratory SystemsPublished 5 October 2006
W.J. Melssen, Bülent Üstün, L.M.C. Buydens
Citations32
SJR quartileQ2
SJR score0.65
SNIP1.20

TL;DR

It is shown that the cascade of the supervised BDK Self-Organising Maps and PLS yields a transparent and powerful regression model and is much faster than KPLS and SVMs, especially if large data sets are examined, while yielding the same or even a better performance.

Abstract

\n Contains fulltext :\n 36430.pdf (Publisher’s version ) (Closed access)\n

Keywords

ChemistryComputer ScienceEngineering