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# BayesianFuzzyClustering
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Matlab implementation of the Bayesian Fuzzy Clustering algorithms. See related paper, doi: 10.1109/TFUZZ.2014.2370676
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***
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NOTE: If Bayesian Fuzzy Clustering is used in any publication or presentation, the following reference must be cited:
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Glenn, T.; Zare, A.; Gader, P., "Bayesian Fuzzy Clustering," IEEE Transactions on Fuzzy Systems, vol.23, no.5, pp.1545-1561
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doi: 10.1109/TFUZZ.2014.2370676
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***
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requirements:
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This code uses the excellent Lightspeed and Fastfit toolboxes by Tom Minka:
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Lightspeed toolbox - http://research.microsoft.com/en-us/um/people/minka/software/lightspeed/
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Fastfit toolbox - http://research.microsoft.com/en-us/um/people/minka/software/fastfit/
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This code also uses the Matlab Fuzzy Logic Toolbox for its fcm implementation
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contents:
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bfc/ % code for Bayesian Fuzzy Clustering MCMC sampler
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|- bfc_params.m % generate default parameters structure
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|- bfc_sampler.m % bayesian fuzzy clustering sampler
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|- test.m % test script - run this
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ibfc/ % code for Infinite Bayesian Fuzzy Clustering particle filter
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|- ibfc_pf_params.m % generate defaults parameters structure
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|- ibfc_pf.m % IBFC particle filter
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|- u_update_ibfc.m % membership update function
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|- c_update_ibfc.m % cluster prototype update function
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|- ll_ibfc.m % ibfc log-likelihood evaluation function
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|- test.m % test script - run this
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