Clustering Mixtures of Discrete Distributions: A Note on Mitra's Algorithm
<|reference_start|>Clustering Mixtures of Discrete Distributions: A Note on Mitra's Algorithm: In this note, we provide a refined analysis of Mitra's algorithm \cite{mitra2008clustering} for classifying general discrete mixture distribution models. Built upon spectral clustering \cite{mcsherry2001spectral}, this algorithm offers compelling conditions for probability distributions. We enhance this analysis by tailoring the model to bipartite stochastic block models, resulting in more refined conditions. Compared to those derived in \cite{mitra2008clustering}, our improved separation conditions are obtained.<|reference_end|>
@article{seif2024clustering,
    title={Clustering Mixtures of Discrete Distributions: A Note on Mitra's
  Algorithm},
    author={Mohamed Seif, Yanxi Chen},
    journal={arXiv preprint arXiv:2405.19559},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.19559},
    primaryClass={cs.LG stat.ML}
}