A chemometric study of chromatograms of tea extracts by correlation optimization warping in conjunction with PCA, support vector machines and random forest data modeling

Earth & Environmental Sciences

• tea 97%
• support vector machine 79%
• alignment 51%
• modeling 34%
• normalization 28%
• liquid chromatography 27%
• machine learning 27%
• analysis 21%
• prediction 13%
• chemical 13%
• water 8%
• method 5%

Medicine & Life Sciences

• Support Vector Machine 100%
• Tea 89%
• Reverse-Phase Chromatography 34%
• Machine Learning 30%
• High Pressure Liquid Chromatography 22%
• Water 18%

Chemical Compounds

• Chemometrics 83%
• Reversed Phase HPLC 40%
• Retention Time 37%
• Water Soluble 31%