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split-and-merge-algorithm

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This repository implements a Gibbs sampling algorithm for Bayesian inference of Dirichlet process mixture models with Hamming distributed kernels. The approach provides model-based clustering for categorical data that lacks natural ordering. Our implementation incorporates split-and-merge Markov chain Monte Carlo techniques to efficiently navigate

  • Updated Apr 9, 2025
  • R

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