In this note, we provide a refined analysis of Mitra's algorithm {mitra2008clustering} for classifying general discrete mixture distribution models. Built upon spectral clustering {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 {mitra2008clustering}, our improved separation conditions are obtained.
No takes yet. Share an insight, caveat, or question.
Seif et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: