Abstract
The typical steps during an application of pattern recognition methods for a chemical classification problem are:
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- Empirical selection of measurements that are expected to be related to the classification problem.
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- Preprocessing of the raw data and selection of relevant features.
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- Training of a classifier.
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- Evaluation of the trained classifier.
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- If the performance of the classifier is not good enough then modifications on the first three steps are necessary.
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© 1980 Springer-Verlag Berlin Heidelberg
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Varmuza, K. (1980). Preprocessing. In: Pattern Recognition in Chemistry. Lecture Notes in Chemistry, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93155-0_9
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DOI: https://doi.org/10.1007/978-3-642-93155-0_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-10273-1
Online ISBN: 978-3-642-93155-0
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