ABSTRACT
The application of chemometrics, a subfield of analytical chemistry that utilizes mathematical, statistical, and other methods of formal logic to determine by indirect means the property of a substance that otherwise would be very difficult to measure, has revolutionized chemical analysis by near-infrared (NIR) spectroscopy in the food, agricultural, and pharmaceutical industries. This chapter focuses on the application of pattern recognition techniques, which is often synonymous with chemometrics, to NIR spectroscopy for developing qualitative relationships based on similarity and dissimilarity among groups of NIR spectra.
