Clustering can be used to identify groups of similar compounds, in order to pick a set of diverse compounds from these clusters for e.g. non-redundant experimental testing.
This workflow shows how to perform such a clustering based on a hierarchical clustering algorithm.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
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