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The generic entropy estimator refers to an algorithmic skeleton which is used to compute the k-nearest-neighbor-based entropy estimators. The main idea is that the algorithms for the estimation of Renyi entropy, Tsallis entropy, and Shannon differential entropy share a very similar estimation algorithm, with the differences being localized to a few key points. The generic entropy estimator encapsulates this similarity and allows to customize these key points via entropy algorithm objects.
Encapsulates properties common to k-nn entropy estimators.
Encapsulates properties common to k-nn entropy estimators.