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Mean shift

Algorithm used to determine the modes of distribution of probability of a dataset

Mean shift is a non-parametric feature-space mathematical analysis technique for locating the maxima of a density function, a so-called mode-seeking algorithm. Application domains include cluster analysis in computer vision and image processing.

Nº Q6803557 ★★

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Mean shift

Algorithm used to determine the modes of distribution of probability of a dataset

Texte en anglais

Mean shift is a non-parametric feature-space mathematical analysis technique for locating the maxima of a density function, a so-called mode-seeking algorithm. Application domains include cluster analysis in computer vision and image processing.

Sur Wikipédia

Texte en anglais Pas encore d'article dans ta langue : extrait en anglais.

Mean shift is a non-parametric feature-space mathematical analysis technique for locating the maxima of a density function, a so-called mode-seeking algorithm. Application domains include cluster analysis in computer vision and image processing.

Texte : Wikipédia en anglais, CC BY-SA 4.0. ·

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