Diversity of descriptors

For example, it is not possible to identify similarity or diversity of bioavailability - that depends on hpophihcity - if no Hpophilicity descriptor was induded in the dataset As already mentioned, it is most important to use the appropriate descriptors for every inquiry and to know the Hmits of the descriptors when interpreting the results. Every diversity classification describes diversity of descriptor values - not diversity of molecules. Classification and selection algorithms can be applied as black boxes. In contrast, every sdentist who uses diversity or similarity computation software must have a comprehensive knowledge about the properties of applied descriptor sets. 

Average Diversity is a statistical measure for the diversity of descriptors in a data set calculated by the sum of all average descriptor deviations divided by the number... 

There are many papers in QSAR literature that describe the use of the discontinuous form of the Shannon entropy (Shannon 1948) as amolecular descriptor. This descriptor is computed using the values of certain other descriptors and Formula (4.34). In QSAR calculations, the Shannon entropy (SE) is considered a measure of diversity of descriptor values and it is usually called information content. 

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