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Section: Numerical classification

Evaluation of classification results


Interpreting results of numerical classification:

  • project results onto ordination diagram
  • compare groups using selected criteria (e.g. environmental variables)
  • evaluate the quality of the classification (e.g. the numbers of misclassified plots using the silhouette diagram)
  • compare groups based on their species composition – identify species which have the highest fidelity to given cluster (characteristic, diagnostic or indicator species)
en/class-eval.txt · Last modified: 2021/03/03 11:56 by David Zelený

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