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- W2368760070 abstract "Clustering is one of the most useful techniques in machine learning and data mining.In cluster analysis,model selection concerning how to determine the number of clusters is an important issue.Unlike supervised learning,there are no class labels and criteria to guide the search,so the model for clustering is always difficult to select.To tackle this problem,we present the concept of nonparametric clustering approach based on Dirichlet process mixture model(DPMM),and apply a collapsed Gibbs sampling technique to sample the posterior distribution.The proposed clustering algorithm follows the Bayesian nonparametric framework and can optimize the number of components and the parameters of the model.The experimental result of clustering shows that this Bayes model has promising properties and robust performance." @default.
- W2368760070 created "2016-06-24" @default.
- W2368760070 creator A5071699874 @default.
- W2368760070 date "2013-01-01" @default.
- W2368760070 modified "2023-09-24" @default.
- W2368760070 title "Data Clustering via Nonparametric Bayesian Models" @default.
- W2368760070 hasPublicationYear "2013" @default.
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