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Soft independent modelling of class analogies

Known as: SIMCA 
Soft independent modelling by class analogy (SIMCA) is a statistical method for supervised classification of data. The method requires a training… 
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Papers overview

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2017
2017
  • R. Zhu
  • 2017
  • Corpus ID: 125606938
Soft independent modelling of class analogy (SIMCA) is a widely used subspacebased classification technique for spectral data… 
2017
2017
Species recognition and identification are very important in the wood industry. The identification of some tree species is… 
2016
2016
In this study, the potential use of ultraviolet-visible (UV-Vis) spectroscopy and soft independent modelling of class analogies… 
2016
2016
In this study, Fourier Transform Infrared (FTIR)-, 1H Nuclear Magnetic Resonance (NMR)-spectroscopy and multivariate statistical… 
2015
2015
This paper presents the non destructive and qualitative discrimination, classification and identification of Assam black tea… 
2014
2014
With the rapid development of the decorative papers industry on a worldwide scale, the aesthetic assessment of decorative papers… 
2009
2009
The development of effective environmental policies is needed in order to meet regulatory standards and international legislation… 
Review
2008
Review
2008
Cereal Chem. 85(4):445-454 Descriptive sensory analysis has identified over a dozen different aromas and flavors in rice… 
2004
2004
In this thesis some multivariate spectroscopic methods for the analysis of solutions are proposed. Spectroscopy and multivariate… 
2000
2000
We present a comparison of several statistical methods to carry out an automatic recognition of signatures. To perform the method…