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Semi-supervised maximum margin clustering with pairwise constraints
Hong Zeng
*
,
Yiu Ming Cheung
*
Corresponding author for this work
Department of Computer Science
Research output
:
Contribution to journal
›
Journal article
›
peer-review
89
Citations (Scopus)
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Dive into the research topics of 'Semi-supervised maximum margin clustering with pairwise constraints'. Together they form a unique fingerprint.
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Keyphrases
Pairwise Constraints
100%
Maximum Margin Clustering
100%
Constrained Maxent
50%
Clustering Algorithm
33%
Constrained Concave-convex Procedure
33%
Maximum Margin
33%
Optimization Methods
16%
Semi-supervised Clustering
16%
Clustering Methods
16%
Optimization Problem
16%
Supervised Learning
16%
Performance Enhancement
16%
Spectral Clustering
16%
K-means
16%
Clustering Approach
16%
Nonconvex Problem
16%
Convex Problem
16%
Loss Function
16%
Gradient Projection
16%
Effective Material Loss
16%
Convex Quadratic Program
16%
Computer Science
Clustering Algorithm
100%
Supervised Clustering
50%
Clustering Method
50%
Optimization Problem
50%
Supervised Learning
50%
Performance Enhancement
50%
Spectral Clustering
50%
clustering approach
50%