A robust automatic clustering algorithm for probability density functions with application to categorizing color images

DOI10.1080/03610918.2017.1337137OpenAlexW2622326149MaRDI QIDQ5084986

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Publication date: 29 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2017.1337137

zbMATH Keywords

probability density functionclustering algorithmskernel density methodCOREL image database

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (4)

A jackknife entropy-based clustering algorithm for probability density functions ⋮ A self-organizing clustering algorithm for functional data ⋮ Automatic clustering algorithm for interval data based on overlap distance ⋮ An automatic clustering for interval data using the genetic algorithm

Cites Work

• Unnamed Item
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• Model-based clustering of probability density functions
• The self-organizing map
• A bivariate beta distribution.
• Bayesian analysis in the \(L^{1}\)-norm of the mixing proportion using discriminant analysis
• \(\gamma\)-SUP: a clustering algorithm for cryo-electron microscopy images of asymmetric particles
• Clustering probability distributions
• Self-updating clustering algorithm for estimating the parameters in mixtures of von Mises distributions
• An automatic clustering algorithm for probability density functions
• Statistical Discrimination Analysis Using the Maximum Function

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