Clustering Methods Professors in Global

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Guohua Yan
University of New Brunswick Canada
cluster analysis
linear clustering
modeling clustered count data
hyperplane clustering
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John Anderson
Carnegie Mellon University United States of America
statistical methods
computational methods
mathematical methods
behavioral methods
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Kate Hong
Carnegie Mellon University United States of America
statistical methods
computational methods
mathematical methods
behavioral methods
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Nema Dean
University of Glasgow United Kingdom
clustering
hierarchical clustering
model-based clustering
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Ioanna Papatsouma
Imperial College London United Kingdom
clustering
robust clustering
constrained clustering
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Ashish Dutt
Monash University Australia
clustering
mixed data clustering
feature selection methods
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Caleb Pomeroy
University of Toronto Canada
statistical methods
computational methods
experimental methods
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Dave Touretzky
Carnegie Mellon University United States of America
statistical methods
computational methods
mathematical methods
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Adriano Polpo
University of Western Australia Australia
classification methods
resampling techniques
bayesian methods
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Maysam Chamanzar
Carnegie Mellon University United States of America
statistical methods
computational methods
mathematical methods
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Thees Spreckelsen
University of Glasgow United Kingdom
research methods
survey research methods
experimental methods
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Mike Tarr
Carnegie Mellon University United States of America
statistical methods
mathematical methods
behavioral methods
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Jo Ferrie
University of Glasgow United Kingdom
research methods
quantitative methods
qualitative methods
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Oleg Pikhurko
University of Warwick United Kingdom
probabilistic methods
algebraic methods
analytic methods
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Ingemar André
Lund University Sweden
computational methods
experimental methods
high-throughput methods
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Monique Laurent
Tilburg University Netherlands
combinatorial methods
geometric methods
algebraic methods
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Charles Kenley
Purdue University United States of America
quantitative methods
bayesian methods
modeling and simulation methods
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Stephen Haben
University of Oxford United Kingdom
clustering methods
optimization methods
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Camila De Souza
Western University Canada
clustering
statistical methods
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Xin Tong
University of Southern California United States of America
clustering
partial knowledge clustering
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Nazim Khan
University of Western Australia Australia
statistical clustering
computational methods
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