Self Organising Maps for distinguishing polymer groups using thermal response curves obtained by dynamic mechanical analysis

Self Organising Maps are described including the U-Matrix, component planes, hit histograms, quality indicators as mean quantisation error and topological error. Software was written in Matlab and several new approaches for visualising multiclass maps are employed. The method is applied to a dataset...

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Bibliographic Details
Published in:Analyst (London) 2008-08, Vol.133 (8), p.1046-1059
Main Authors: LLOYD, Gavin R, BRERETON, Richard G, DUNCAN, John C
Format: Article
Language:English
Subjects:
Analytical chemistry
Chemistry
Exact sciences and technology
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Summary:Self Organising Maps are described including the U-Matrix, component planes, hit histograms, quality indicators as mean quantisation error and topological error. Software was written in Matlab and several new approaches for visualising multiclass maps are employed. The method is applied to a dataset consisting of the Dynamic Mechanical Analysis of 293 polymers, involving heating the polymers over a temperature range of -51 degrees C to 270 degrees C. These can be characterised in three different ways (a) amorphous or semi-crystalline (b) as 9 groups (c) as 30 grades.
ISSN:0003-2654
1364-5528
DOI:10.1039/b715390b