Mixed Data Clustering Professors in Global

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Aijun Author
York University Canada
clustering
data mining
pattern mining
machine learning
data stream mining
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Hina Shaheen
University of Manitoba Canada
machine learning
multivariate high dimensional data analysis
data analysis
statistical machine learning
computational modelling
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Ioanna Papatsouma
Imperial College London United Kingdom
mixed-type data
clustering
constrained clustering
robust clustering
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Guohua Yan
University of New Brunswick Canada
modeling clustered count data
linear clustering
cluster analysis
hyperplane clustering
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Camila De Souza
Western University Canada
clustering
mixed effect models
hierarchical mixture models
data analysis
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Matias Carrasco Kind
University of Illinois United States of America
clustering
data mining
machine learning
deep learning
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John Quilty
University of Waterloo Canada
data mining
machine learning
data assimilation
deep learning
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Ashish Dutt
Monash University Australia
mixed data clustering
clustering
machine learning
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Nema Dean
University of Glasgow United Kingdom
clustering
hierarchical clustering
model-based clustering
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Paul Mcnicholas
McMaster University Canada
mixed-type data
mixture model-based clustering
multivariate longitudinal data
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James Booth
Cornell University Netherlands
clustering
mixed models
machine learning
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Joerg Sander
University of Alberta Canada
clustering
data mining
spatial data mining
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Orla Murphy
Dalhousie University Canada
clustering
discrete mixed-type data
mixture models
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Lyle Ungar
University of Pennsylvania United States of America
clustering
data mining
machine learning
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Martin Ester
Simon Fraser University Canada
clustering
data mining
machine learning
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John Lau
University of Western Australia Australia
statistical clustering
mixture modelling
statistical filtering
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Shirley Mills
Carleton University Canada
clustering
data mining
statistical machine learning
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Sara Wade
University of Edinburgh United Kingdom
clustering
mixture models
machine learning
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Sanjeena Dang
Carleton University Canada
clustering
mixture models
machine learning
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Sharareh Akbarian
University of New South Wales Australia
clustering
machine learning
deep learning
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Atsuto Maki
KTH Royal Institute of Technology Sweden
clustering
machine learning
deep learning
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