Clustering probability distributions

DOI10.1080/02664760903186049OpenAlexW2074553505MaRDI QIDQ5123664

Thu Pham Gia, Tai Vo van

Publication date: 29 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760903186049

zbMATH Keywords

clusterBayes errormaximum functionhierarchical approach\(L^1\)-distance

Mathematics Subject Classification ID

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

Related Items (19)

Some results of classification problem by Bayesian method and application in credit operation ⋮ A new approach for face detection using the maximum function of probability density functions ⋮ A jackknife entropy-based clustering algorithm for probability density functions ⋮ Similar coefficient for cluster of probability density functions ⋮ Automatic genetic algorithm in clustering for discrete elements ⋮ A robust automatic clustering algorithm for probability density functions with application to categorizing color images ⋮ A new approach for determining the prior probabilities in the classification problem by Bayesian method ⋮ An automatic fuzzy clustering algorithm for discrete elements ⋮ Modified genetic algorithm-based clustering for probability density functions ⋮ Automatic clustering algorithm for interval data based on overlap distance ⋮ The Complete Gradient Clustering Algorithm: properties in practical applications ⋮ Clustering algorithm for proximity-relation matrix and its applications ⋮ Fuzzy clustering of probability density functions ⋮ An automatic clustering for interval data using the genetic algorithm ⋮ Similar coefficient of cluster for discrete elements ⋮ A new binary adaptive elitist differential evolution based automatic \(k\)-medoids clustering for probability density functions ⋮ An automatic clustering algorithm for probability density functions ⋮ Classifying two populations by Bayesian method and applications ⋮ Bayesian network modeling of the consensus between experts: an application to neuron classification

Uses Software

• Matlab

Cites Work

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• Separation and probability of correct classification among two or more distributions
• Bayesian analysis in the \(L^{1}\)-norm of the mixing proportion using discriminant analysis
• On the notion of affinity of several distributions and some of its applications
• An efficient algorithm for a complete link method
• Statistical Discrimination Analysis Using the Maximum Function

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