Various pattern classification techniques used in the context of environmental chemistry are presented. Both parametric and non-parametric Bayesian classifiers are outlined, as well as artificial intelligence-based techniques such as artificial neural networks and classification trees. A comparative analysis of the performance of some of the pattern classification methods is also given and several environmental applications are used to illustrate the various classifiers. A brief discussion on the software packages that are available is also included.
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- Pattern Analysis and Classification
Danny H. Coomans
Olivier Y. de Vel
- Springer Berlin Heidelberg