Compared with similar methods, this clustering algorithm shows stable and efficient clustering performance on single-cell data, thus overcoming the shortcomings of traditional methods; Dong and Zhu, ...

The Annals of Statistics, Vol. 43, No. 1 (February 2015), pp. 215-237 (23 pages) We analyze the performance of spectral clustering for community extraction in stochastic block models. We show that, ...

Statistical node clustering in discrete time dynamic networks is an emerging field that raises many challenges. Here, we explore statistical properties and frequentist inference in a model that ...