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Chemometric Applications

  • Ron WehrensEmail author
Chapter
Part of the Use R book series (USE R)

Abstract

This chapter highlights some typical examples of research themes in the chemometrics community. Up to now we have concentrated on fairly general techniques, found in many textbooks and applicable in a wide range of fields. Several other topics, some of them more specific to the field of chemometrics, combine elements from the previous chapters and warrant a separate section. We start with two examples dealing with outliers and noise, respectively. Robust PCA is an attractive method to identify outliers in multivariate space, at a modest computational cost.

Keywords

Outlier Detection Breakdown Point Classi Cation Multivariate Curve Resolution Pure Spectrum 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Research and Innovation CentreFondazione Edmund MachSan Michele all’AdigeItaly

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