Clustering Mixtures of Discrete Distributions: A Note on Mitra's Algorithm

Abstract

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.

Tasks

Reproductions