Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: A multi-way analysis of starch cassava properties
Author: Reis, MM
Ferreira, MMC
Sarmento, SBS
Abstract: The original methods proposed by Ledyard R. Tucker during the 1960s present the rotational freedom problem, making the interpretation of their results rather difficult to be carried out. Aiming to make the multi-way data analysis more acceptable, this work suggests a methodology for extracting meaningful information from the data set. This methodology is based on the decomposition of data set in three-way blocks by using Tucker models. With the aim of keeping in one block similar information about the data properties, a decomposition based on a constrained Tucker model was used, where the core array has some of its elements fixed to zero. This methodology is successfully applied to a data set formed by physical and physicochemical properties of starches of four cassava cultivars, harvested at different ages during the period usually taken for harvest of industrial uses. (C) 2002 Elsevier Science B.V. All rights reserved.
Subject: constrained tucker model
cassava starch properties
multi-way analysis
Country: Holanda
Editor: Elsevier Science Bv
Rights: fechado
Identifier DOI: 10.1016/S0169-7439(02)00053-9
Date Issue: 2002
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

Files in This Item:
File Description SizeFormat 
WOS000179135600002.pdf219.35 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.