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Forensic Science
Data on forensic science described by researchers at City University of New York
November 1st, 2008
"The intention of this study was to differentiate liquid gasoline samples from casework by utilizing multivariate pattern recognition procedures on data from gas chromatography-mass spectrometry. A supervised learning approach was undertaken to achieve this goal employing the methods of principal component analysis (PCA). canonical variate analysis (CVA), orthogonal canonical variate analysis (OCVA), and linear discriminant analysis," researchers in the United States report. "The study revealed that the variability in the sample population was sufficient enough to distinguish all the samples from one another knowing their groups a priori. CVA was able to differentiate...
Source: Law & Health Weekly (2008-11-01)
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