Independent components analysis to increase efficiency of discriminant analysis methods (FDA and LDA): Application to NMR fingerprinting of wine.
暂无分享,去创建一个
Douglas N Rutledge | Rolf Godelmann | Thomas Kuballa | D. Rutledge | Y. Monakhova | T. Kuballa | S. P. Mushtakova | Yulia B Monakhova | Svetlana P Mushtakova | R. Godelmann
[1] Y. Monakhova,et al. Independent component analysis algorithms for spectral decomposition in UV/VIS analysis of metal-containing mixtures including multimineral food supplements and platinum concentrates , 2013 .
[2] Delphine Jouan-Rimbaud Bouveresse,et al. Independent component analysis as a pretreatment method for parallel factor analysis to eliminate artefacts from multiway data. , 2007, Analytica chimica acta.
[3] Marco Arlorio,et al. Application of ¹H NMR for the characterisation and authentication of ''Tonda Gentile Trilobata" hazelnuts from Piedmont (Italy). , 2014, Food chemistry.
[4] Kwang-Sik Lee,et al. An integrated analysis for determining the geographical origin of medicinal herbs using ICP-AES/ICP-MS and (1)H NMR analysis. , 2014, Food chemistry.
[5] Tapani Ristaniemi,et al. Answering six questions in extracting children’s mismatch negativity through combining wavelet decomposition and independent component analysis , 2011, Cognitive Neurodynamics.
[6] Douglas N. Rutledge,et al. Fruit juice authentication by 1H NMR spectroscopy in combination with different chemometrics tools , 2008, Analytical and bioanalytical chemistry.
[7] Yulia B. Monakhova,et al. Independent components in spectroscopic analysis of complex mixtures , 2010, 1009.0534.
[8] Dirk W Lachenmeier,et al. Determination of rice type by 1H NMR spectroscopy in combination with different chemometric tools , 2014 .
[9] Johanna Smeyers-Verbeke,et al. Handbook of Chemometrics and Qualimetrics: Part A , 1997 .
[10] Yuan Ren,et al. Classification for high-throughput data with an optimal subset of principal components , 2009, Comput. Biol. Chem..
[11] L. Gribov,et al. Methods of the decomposition of spectra of various origin in the analysis of complex mixtures , 2011 .
[12] Andrzej Cichocki,et al. Adaptive Blind Signal and Image Processing - Learning Algorithms and Applications , 2002 .
[13] Theodoros N. Arvanitis,et al. A hybrid method of application of independent component analysis to in vivo 1H MR spectra of childhood brain tumours , 2012, NMR in biomedicine.
[14] Kwang-Sik Lee,et al. Discrimination of the geographical origin of beef by (1)H NMR-based metabolomics. , 2010, Journal of agricultural and food chemistry.
[15] M. Lees. Food authenticity and traceability. , 2003 .
[16] Dominique Bertrand,et al. SAISIR: A new general chemometric toolbox , 2014 .
[17] Giulio Cozzi,et al. Application of near-infrared spectroscopy as an alternative to chemical and color analysis to discriminate the production chains of Asiago d'Allevo cheese. , 2009, Journal of agricultural and food chemistry.
[18] D. Jouan-Rimbaud Bouveresse,et al. Two novel methods for the determination of the number of components in independent components analysis models , 2012 .
[19] Philippe Courcoux,et al. Stepwise canonical discriminant analysis of continuous digitalized signals: Application to chromatograms of wheat proteins , 1990 .
[20] D. Rutledge,et al. Evolving window zone selection method followed by independent component analysis as useful chemometric tools to discriminate between grapefruit juice, orange juice and blends. , 2007, Analytica chimica acta.
[21] J. Pulkkinen,et al. Independent component analysis to proton spectroscopic imaging data of human brain tumours. , 2005, European journal of radiology.
[22] E. K. Kemsley,et al. THE USE AND MISUSE OF CHEMOMETRICS FOR TREATING CLASSIFICATION PROBLEMS , 1997 .
[23] Fei Liu,et al. Variable selection in visible/near infrared spectra for linear and nonlinear calibrations: a case study to determine soluble solids content of beer. , 2009, Analytica chimica acta.
[24] W. Cai,et al. Chemometric approach for fast analysis of prometryn in human hair by GC-MS. , 2013, Journal of separation science.
[25] C. Fauhl-Hassek,et al. Authentication of the botanical and geographical origin of distillers dried grains and solubles (DDGS) by FT-IR spectroscopy. , 2013, Journal of agricultural and food chemistry.
[26] I. Schelkanova,et al. Independent component analysis of broadband near-infrared spectroscopy data acquired on adult human head , 2011, Biomedical optics express.
[27] Soo-Young Lee,et al. Discriminant Independent Component Analysis , 2011, IEEE Trans. Neural Networks.
[28] Gerard Downey,et al. Confirmation of food origin claims by fourier transform infrared spectroscopy and chemometrics: extra virgin olive oil from Liguria. , 2009, Journal of agricultural and food chemistry.
[29] W. T. O'Hare,et al. Discrimination of Sri Lankan black teas using fluorescence spectroscopy and linear discriminant analysis. , 2013, Journal of the science of food and agriculture.
[30] A. Sabatini,et al. Classification of Italian honeys by 2D HR-NMR. , 2008, Journal of agricultural and food chemistry.
[31] M. Scarpiniti,et al. Monitoring of marine mucilage formation in Italian seas investigated by infrared spectroscopy and independent component analysis , 2012, Environmental Monitoring and Assessment.
[32] Colm O'Donnell,et al. Multivariate Analysis of Attenuated Total Reflection—Fourier Transform Infrared Spectroscopic Data to Confirm the Origin of Honeys , 2008, Applied spectroscopy.
[33] F. Nuez,et al. Multivariate analysis applied to tomato hybrid production , 1984, Theoretical and Applied Genetics.
[34] Gerard Downey,et al. Geographic Classification of Extra Virgin Olive Oils from the Eastern Mediterranean by Chemometric Analysis of Visible and Near-Infrared Spectroscopic Data , 2003, Applied spectroscopy.
[35] E. Oja,et al. Independent Component Analysis , 2013 .
[36] R. Karoui,et al. Mid infrared and fluorescence spectroscopies coupled with factorial discriminant analysis technique to identify sheep milk from different feeding systems. , 2011, Food chemistry.
[37] Wenming Zheng,et al. Complexity-reduced implementations of complete and null-space-based linear discriminant analysis , 2013, Neural Networks.
[38] K. Linnet,et al. On the sensitivity of linear discriminant analysis to sampling variation and analytical errors. , 1988, Computers and biomedical research, an international journal.
[39] M. Spraul,et al. Application of automated eightfold suppression of water and ethanol signals in 1H NMR to provide sensitivity for analyzing alcoholic beverages , 2011, Magnetic resonance in chemistry : MRC.
[40] Mohammadreza Khanmohammadi,et al. Application of Linear Discriminant Analysis and Attenuated Total Reflectance Fourier Transform Infrared Microspectroscopy for Diagnosis of Colon Cancer , 2011, Pathology & Oncology Research.
[41] K. Héberger,et al. Method and model comparison by sum of ranking differences in cases of repeated observations (ties) , 2013 .
[42] L. Leita,et al. Traceability of Italian garlic (Allium sativum L.) by means of HRMAS-NMR spectroscopy and multivariate data analysis. , 2012, Food chemistry.
[43] K. Héberger. Sum of ranking differences compares methods or models fairly , 2010 .
[44] Manfred Spraul,et al. Targeted and nontargeted wine analysis by (1)h NMR spectroscopy combined with multivariate statistical analysis. Differentiation of important parameters: grape variety, geographical origin, year of vintage. , 2013, Journal of agricultural and food chemistry.
[45] F. Barbosa,et al. Identification of species of the Euterpe genus by rare earth elements using inductively coupled plasma mass spectrometry and linear discriminant analysis. , 2014, Food chemistry.
[46] Feng Wei,et al. Rapid discrimination of Chinese red ginseng and Korean ginseng using an electronic nose coupled with chemometrics. , 2012, Journal of pharmaceutical and biomedical analysis.
[47] K. Héberger,et al. Sum of ranking differences for method discrimination and its validation: comparison of ranks with random numbers , 2011 .
[48] Remedios Castro Mejías,et al. A new FT-IR method combined with multivariate analysis for the classification of vinegars from different raw materials and production processes. , 2010, Journal of the science of food and agriculture.
[49] C. Ruckebusch,et al. Multivariate curve resolution: a review of advanced and tailored applications and challenges. , 2013, Analytica chimica acta.
[50] S. D. Jong,et al. Handbook of Chemometrics and Qualimetrics , 1998 .
[51] Marit Aursand,et al. Bioactive compounds in cod (Gadus morhua) products and suitability of 1H NMR metabolite profiling for classification of the products using multivariate data analyses. , 2005, Journal of agricultural and food chemistry.
[52] Thomas Kuballa,et al. Independent component analysis (ICA) algorithms for improved spectral deconvolution of overlapped signals in 1H NMR analysis: application to foods and related products , 2014, Magnetic resonance in chemistry : MRC.
[53] Andrzej Cichocki,et al. Adaptive blind signal and image processing , 2002 .
[54] D. Axelson,et al. (13)C NMR pattern recognition techniques for the classification of Atlantic salmon (Salmo salar L.) according to their wild, farmed, and geographical origin. , 2009, Journal of agricultural and food chemistry.
[55] C. Jang,et al. Using multivariate statistical methods to assess the groundwater quality in an arsenic-contaminated area of Southwestern Taiwan , 2012, Environmental Monitoring and Assessment.
[56] K. Héberger,et al. Supervised pattern recognition in food analysis. , 2007, Journal of chromatography. A.
[57] Károly Héberger,et al. Classification of gilthead sea bream (Sparus aurata) from 1H NMR lipid profiling combined with principal component and linear discriminant analysis. , 2007, Journal of agricultural and food chemistry.
[58] L Catucci,et al. Non-targeted 1H NMR fingerprinting and multivariate statistical analyses for the characterisation of the geographical origin of Italian sweet cherries. , 2013, Food chemistry.
[59] Manfred Spraul,et al. Synergistic effect of the simultaneous chemometric analysis of ¹H NMR spectroscopic and stable isotope (SNIF-NMR, ¹⁸O, ¹³C) data: application to wine analysis. , 2014, Analytica chimica acta.