Hierarchical Variable Clustering Professors in Global

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Nema Dean
University of Glasgow United Kingdom
hierarchical clustering
clustering
model-based clustering
variable selection
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Guohua Yan
University of New Brunswick Canada
linear clustering
hyperplane clustering
cluster analysis
modeling clustered count data
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Ioanna Papatsouma
Imperial College London United Kingdom
clustering
constrained clustering
robust clustering
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Inge Koch
University of Western Australia Australia
clustering
multivariate data analysis
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Tereza Neocleous
University of Glasgow United Kingdom
hierarchical data
multivariate data analysis
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Quan Zhou
Texas A&M University United States of America
variable selection
iterative algorithms
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Maria Kateri
RWTH Aachen University Germany
stochastic modelling
clustered ordinal data
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Karin Nilsson
Linköping University Sweden
linguistic variables
cognitive variables
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Vanessa Mcnealis
University of Glasgow United Kingdom
hierarchical modelling
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Andrew Holbrook
University of California Los Angeles United States of America
hierarchical modelling
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Chris Cahill
Michigan State University United States of America
hierarchical modeling
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Frances Buderman
Pennsylvania State University United States of America
hierarchical modeling
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J. Royle
Cornell University Netherlands
hierarchical modeling
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Debdeep Pati
University of Wisconsin–Madison United States of America
hierarchical modeling
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Heemun Kwok
University of Washington United States of America
hierarchical modeling
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Tyler Wagner
Pennsylvania State University United States of America
hierarchical modeling
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Sophia Rabe-hesketh
University of California, Berkeley United States of America
hierarchical modeling
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Frances Buderman
Pennsylvania State University United States of America
hierarchical modeling
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Robert Weiss
University of California Los Angeles United States of America
hierarchical modeling
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Efthymios Costa
Imperial College London United Kingdom
clustering algorithms
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Vasilis Pettas
Technical University of Denmark Denmark
clustering algorithms
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