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- W2959287746 abstract "Random sets play an essential role in modelling several phenomena in biology, medicine and material science. However, sometimes it is hard to describe them using a specific model. Therefore it can also be difficult to classify them or to compare their realisations. This contribution proposes a similarity measure between two random sets whose realisations consist of many components based on just one realisation of each of them. The similarity measure is obtained in a non-parametric way taking into account the shapes and the positions of the components. The procedure is justified by a simulation study and consequently applied to real biomedical data of histological images of mammary tissue." @default.
- W2959287746 created "2019-07-23" @default.
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- W2959287746 date "2019-07-18" @default.
- W2959287746 modified "2023-10-16" @default.
- W2959287746 title "SIMILARITY BETWEEN RANDOM SETS CONSISTING OF MANY COMPONENTS" @default.
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- W2959287746 doi "https://doi.org/10.5566/ias.2017" @default.
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