Rényi entropy is a generalization of Shannon entropy that provides a measure of the diversity or uncertainty of a probability distribution. It was introduced by Alfréd Rényi in 1960 and is particularly useful in information theory, statistical mechanics, and various fields dealing with complex systems.
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