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Visualization of quality parameters for classification of spectra in shooting crimes
Author(s) -
Knauthe Björn,
Steffen Sylvia,
Barth Martin,
Niewoehner Ludwig,
Otto Matthias
Publication year - 2008
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1109
Subject(s) - mahalanobis distance , visualization , interpretation (philosophy) , pattern recognition (psychology) , artificial intelligence , computer science , linear discriminant analysis , ammunition , inverse , quality (philosophy) , data mining , mathematics , materials science , physics , geometry , quantum mechanics , metallurgy , programming language
X‐ray emission spectra from gunshot residues (GSR) are evaluated in order to assign them to a certain ammunition brand. Classification is based on regularized discriminant analysis (RDA) providing class information as well as additional parameters for judging the quality of an assignment. For visualization of measures such as the posterior probability, distance to centre or inverse Mahalanobis distances different approaches are explored and their common interpretation is evaluated. Copyright © 2008 John Wiley & Sons, Ltd.