Method for detecting subpopulations in spectral analysis

Boots – shoes – and leggings

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364554, 250339, G01F 1546

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active

051213389

ABSTRACT:
A method for using spectral analysis to detect subpopulations is disclosed. According to this method, a training set of spectra of a first plurality of samples is obtained and a bootstrap distribution is formed. A test set of spectra of a second plurality of samples is then obtained and a second bootstrap distribution is formed. First and second univariate distributions are then formed from the bootstrap distributions. A quantile-quantile relationship of the training and test sets is then developed and a determination of whether the test set and training set are substantially identical is made. The plurality of test samples are thus used to calculate probability density contours inside a training-set spectral cluster and detect perturbations of those contours using a bootstrap procedure. False samples are detected as subclusters well inside the training set, and trace analyses using a very small number of wavelengths are facilitated.

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