Length of clustering algorithms based on random walks with an application to neuroscience

DOI10.1016/J.CHAOS.2012.02.021zbMath1402.92121OpenAlexW2056439736MaRDI QIDQ2393272

Alexis Vigot, Michèle Thieullen

Publication date: 7 August 2013

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: http://www.sciencedirect.com/science/article/pii/S0960077912000720

zbMATH Keywords

random walksneuroscienceclustering algorithms

Mathematics Subject Classification ID

Sums of independent random variables; random walks (60G50) Neural biology (92C20) Systems biology, networks (92C42)

Cites Work

• Shuffling Cards and Stopping Times
• Community structure in social and biological networks
• The cutoff phenomenon in finite Markov chains.
• Computing Communities in Large Networks Using Random Walks

This page was built for publication: Length of clustering algorithms based on random walks with an application to neuroscience