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Similarity-Reduced Diversities: the Effective Entropy and the Reduced Entropy
1Department of Language and Information Sciences, Institute of Geography and Sustainability University of Lausanne, Lausanne, Switzerland.
Abstract:
The paper presents and analyzes the properties of a new diversity index, the effective entropy, which lowers Shannon entropy by taking into account the presence of similarities between items. Similarities decrease exponentially with the item dissimilarities, with a freely adjustable discriminability parameter controlling various diversity regimes separated by phase transitions. Effective entropies are determined iteratively, and turn out to be concave and subadditive, in contrast to the reduced entropy, proposed in Ecology for similar purposes. Two data sets are used to illustrate the formalism, and underline the role played by the dissimilarity types.
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