FastEx: Hash Clustering with Exponential Families

Clustering is a key component in data analysis toolbox. In this paper we present a sampler, capable of estimating mixtures of exponential families. At its heart lies a novel proposal distribution using random projections to achieve high throughput in generating proposals, which is crucial for clustering models with large numbers of clusters.