Information

Membership Number: FCA2512

Membership Type: Fellowship

Division: Engineering and Applied Sciences (& Mathematics and Information Sciences)

Corresponding Email: bmirkin@hse.ru, boris.mirkin@bbk.ac.uk

Homepage(s): https://www.hse.ru/en/staff/bmirkin 

https://www.dcs.bbk.ac.uk/people/emeritus-staff/boris/ 

Present and Previous Positions

Professor of Higher School of Economics

Professor of the University of London (Emeritus)

Research scientist and Head of division at the Institute of Economics (Russian Academy of Sciences, Novosibirsk)

· Since 2010 —— Leading Research Fellow, International Center for Decision Analysis and Choice, National Research University Higher School of Economics, Moscow, Russia

· Since 2009 —— Professor, Distinguished Professor (from 2010), Department of Data Analysis and Artificial Intelligence, National Research University Higher School of Economics, Moscow, Russia

· 2000 - 2010 —— Professor, Department of Computer Science, Birkbeck University of London, UK

· 1996 - 1999 —— Visiting Scientist, National Cancer Center (DKFZ), Heidelberg, Germany

· 1993 - 1997 —— Research Associate, The Center for Discrete Mathematics and Theoretical Computer Science (DIMACS), Rutgers University, Piscataway, NJ USA

· 1992 – 1993 —— Consultant, International Energy Agency OECD, Paris, France

· 1991 - 1992 —— Visiting Scientist, École Nationale Supérieure des Télécommunications, Paris, France

· 1990 —— D. Sc. Engineering, Institute of Systems Analysis of the USSR’s Academy, Moscow, Russia

· 1982 - 1991 —— Senior Research Fellow, Central Economics-Mathematics Institute of the USSR’s Academy, Moscow, Russia

· 1967 - 1982 —— Research Fellow, Senior Research Fellow (1968), Head of Data Analysis Lab

Fields of Scholarship and Research Interests

Clustering, Decision Making, Mathematical Classification, Evolutionary Trees, Data and Text Interpretation

Professor Mirkin began his work in data analysis to embrace categorical decision making and classification. His models and methods include partitions and orderings within a linear algebra framework. He extended these to apply the maximum parsimony principle to taxonomic reconstructions. His applications range from genome history reconstructions to taxonomy generalizations to upwelling dynamics modeling to evaluation of research impact to internet advertising.

Honors, Awards and Other Membership

2023 ——Medal of Merit of the Higher School of Economics Moscow

2017 ——Member of the Academia Europaea

2012 ——“Golden Prize” for the Advanced research results at the Higher School of Economics Moscow

2004-2011 —— Member of the Council of the British Classification Society

Selected Publications

https://scholar.google.com/citations?user=MpNtL58AAAAJ&hl=en 

https://www.researchgate.net/profile/Boris-Mirkin-2 

The three most highly cited publications

- Mathematical Classification and Clustering: From How to What and Why. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72087-1_20

- Clustering: A data recovery approach, 2005/2012, Chapman and Hall/CRC.https://doi.org/10.1201/9781420034912 

- Comparative genomics of the lactic acid bacteria, Proceedings of the National Academy of Sciences, 2006. https://doi.org/10.1073/pnas.0607117103 

Main research results

Automata

• Mirkin’s prebase (1966)

Consensus

• Mirkin distance between partitions (1968)

• Characterization of Interval Orders (1969)

• Federation consensus rules (1979)

• Consensus clustering (1980)

• Mapping gene trees into species trees      (1995)

K-means clustering

• Anomalous clustering (1987)

• Matrix factorization (1990)

• Mixed scale clustering (1990)

• Similarity clustering (2005)

• Intelligent k-means (2005)

• Feature weights in Minkowski space (2012)

Other clustering

• Structured Partitions (1974)

• Categorical factor analysis (1976)

• Approximate biclustering (1995)

• Proportional membership fuzzy clustering      (2003)

• Approximate tri-clustering (2011)

• Additive fuzzy spectral clustering (2012)

• Linear stratification over multiple      criteria (2013)

• Shelled Clusters (2017)

• Least-squares community detection (2020)

Optimal lifting leaf-sets in rooted trees

• Reconstruction of LUCA (common ancestor) genome (2003)

• Generalization in taxonomies (2018)

• Taxonomic content-analysis of text collections (2020)