Browsing by Subject "Discriminant analysis"
Now showing items 1-2 of 2
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(Elsevier, 2014)High-dimensional spectroscopy data are increasingly common in many fields of science. Building classification models in this context is challenging, due not only to high dimensionality but also to high autocorrelations. ...
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(2006)A method for fault detection and isolation is developed using the concatenated variances of the continuous wavelet transform (CWT) of plant outputs. These concatenated variances are projected onto the principal component ...