Clustering Algorithms Professors in Global

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Marc Renault
University of Wisconsin United States of America
search algorithms
online algorithms
approximation algorithms
offline algorithms
streaming algorithms
analysis of algorithms
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Nicole Wein
University of Michigan United States of America
online algorithms
distributed algorithms
parameterized algorithms
distance-estimation algorithms
dynamic algorithms
graph algorithms
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Debarati Das
Pennsylvania State University United States of America
clustering algorithms
approximation algorithms
string algorithms
graph algorithms
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Guohua Yan
University of New Brunswick Canada
linear clustering
cluster analysis
hyperplane clustering
modeling clustered count data
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Aijun Author
York University Canada
clustering
machine learning
pattern mining
data mining
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Gara Pruesse
Vancouver Island University Canada
approximation algorithms
optimization algorithms
discrete algorithms
graph algorithms
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
quantum algorithms
approximation algorithms
data stream algorithms
graph algorithms
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Tuğkan Batu
London School of Economics United Kingdom
algorithms
sublinear algorithms
streaming algorithms
randomized computation
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Matias Carrasco Kind
University of Illinois United States of America
clustering
machine learning
data mining
deep learning
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
approximation algorithms
sublinear algorithms
dynamic algorithms
graph algorithms
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Tahereh Koohi
University of New South Wales Australia
evolutionary algorithms
machine learning
neural networks
deep learning
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Brokoslaw Laschowski
University of Toronto Canada
brain-inspired algorithms
machine learning
neural networks
deep learning
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Pascal Vincent
University of Montreal Canada
machine learning
algorithmics
neural networks
deep learning
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Nicolas Loizou
Johns Hopkins University United States of America
distributed decentralized algorithms
machine learning
large-scale optimization
deep learning
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Gerasimos Spanakis
Maastricht University Netherlands
machine learning
neural networks
data mining
deep learning
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Michael Chen
York University Canada
data mining
deep learning
large scale optimization
stochastic optimization
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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
constrained clustering
robust clustering
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Ashish Dutt
Monash University Australia
clustering
mixed data clustering
machine learning
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Sanjoy Dasgupta
University of California, San Diego United States of America
clustering
algorithms
machine learning
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David Shmoys
Cornell University Netherlands
clustering
approximation algorithms
stochastic optimization
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