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Hutchinson metric : ウィキペディア英語版 | Hutchinson metric
In mathematics, the Hutchinson metric is a function which measures "the discrepancy between two images for use in fractal image processing" and "can also be applied to describe the similarity between DNA sequences expressed as real or complex genomic signals."〔 (Efficient computation of the Hutchinson metric between digitized images ) abstract〕〔 (HUTCHINSON METRIC IN FRACTAL DNA ANALYSIS -- A NEURAL NETWORK APPROACH )〕 ==Formal definition== Consider only nonempty, compact, and finite metric spaces. For a space , let denote the space of Borel probability measures on , with : the embedding associating to the point measure . The support of a measure in P(X) is the smallest closed subset of measure 1. If : is Borel measurable then the induced map : associates to the measure defined by : for all Borel in . Then the Hutchinson metric is given by : where the is taken over all real-valued functions ''u'' with Lipschitz constant Then is an isometric embedding of into , and if : is Lipschitz then : is Lipschitz with the same Lipschitz constant.〔 (Invariant Measures for Set-Valued Dynamical Systems Walter Miller; Ethan Akin Transactions of the American Mathematical Society, Vol. 351, No. 3. (Mar., 1999), pp. 1203-1225 ) 〕
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