This introductory text aims to provide students and researchers with a guide to the application of the chemometric techniques used to process and interpret analytical data. It provides the reader with sufficient details of the fundamental methods to encourage further exploration. The topics discussed include the basic elements of univariate and multivariate data analysis, the acquisition of digital data and signal enhancement by filtering and smoothing, feature selection and extraction, pattern recognition, exploratory data analysis by clustering, and common algorithms in use for multivariate calibration techniques.
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