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Improved conic reformulations for k-means clustering
Madhushini Narayana Prasad
,
Grani A. Hanasusanto
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Keyphrases
K-means
100%
Conic Reformulation
100%
Semidefinite Relaxation
66%
Popular
33%
Tight
33%
New Approximation
33%
NP-hard
33%
Approximation Algorithms
33%
Convex Optimization Problem
33%
Relaxation Scheme
33%
Solution Scheme
33%
Semidefinite Programming
33%
Clustering Problem
33%
Conic Program
33%
Computer Science
Semidefinite Programming
100%
k-means Clustering
100%
K-Means Clustering
66%
Optimization Problem
33%
Approximation Algorithms
33%
Convex Optimization
33%