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Theory & Methods: Mixture model clustering using the MULTIMIX program
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1999
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Cluster ComputingDocument ClusteringMixture DistributionEngineeringMixture ModelsData ScienceData MiningMixture AnalysisMultiset Data AnalysisKnowledge DiscoveryStatistical ProblemsUnsupervised Machine LearningStatisticsCombinatorial Data AnalysisLarge Medical DatasetMultimix ProgramData ModelingContinuous Variables
Hunt (1996) implemented the finite mixture model approach to clustering in a program called MULTIMIX. The program is designed to cluster multivariate data that have categorical and continuous variables and that possibly contain missing values. This paper describes the approach taken to design MULTIMIX and how some of the statistical problems were dealt with. As an example, the program is used to cluster a large medical dataset.