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Application of Akaike information criterion assisted probabilistic latent semantic analysis on non-trilinear total

Keshav Kumar1

  • 1Institute for Wine Analysis and Beverage Research, Hochschule Geisenheim University, Geisenheim, 65366, Germany.

Analytica Chimica Acta
|April 6, 2019
PubMed

Keywords:
Akaike information criterionNon-trilinearProbabilistic latent semantic analysisTotal synchronous fluorescence spectroscopy

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