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Community detection in feature-rich networks with data recovery clustering

  • Speaker: Prof. Boris Mirkin
  • Emeritus Professor of Computer Science. BSc, MSc and PhD in Computer Science (Saratov State University, Russia), DSc in Engineering (Russian Academy of Sciences, Moscow). Research scientist and Head of division at Institute of Economics (Russian Academy of Sciences, Novosibirsk). Visiting fellow: Ecole Nationale Superieure des Telecommunications (1991-2, Paris, France), DIMACS Rutgers University (1993-8, New-Jersey, USA), Deutsches Krebs Forschnung Zentrum (1996-9, Heidelberg, Germany).
  • Date: Thursday, 19 January 2023 from 12:00 to 13:00
  • Location: MAL 151 (Seminar room)
  • Join URL: click here
  • Video URL: click here

This talk reviews B. Mirkin and S. Shalileh's work 2020-2022 on the subject by applying our data recovery clustering approach to the case of double data source: network link weights and features at the nodes. The algorithms developed, including an extension of k-means, appear competitive in computational experiments on both synthetic and real-world datasets.


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