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Constrained Clustering

Split data into groups, taking into account knowledge in the form of constraints on points, groups of points, or clusters.

Papers

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Showing 21–30 of 72 papers

TitleStatusHype
A Bibliographic View on Constrained ClusteringCode0
Deep Federated Anomaly Detection for Multivariate Time Series Data—0
Towards Fewer Labels: Support Pair Active Learning for Person Re-identification—0
Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint RelaxationCode1
An Exact Algorithm for Semi-supervised Minimum Sum-of-Squares ClusteringCode0
Tight FPT Approximation for Constrained k-Center and k-Supplier—0
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense RetrievalCode1
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation—0
CDPS: Constrained DTW-Preserving Shapelets—0
FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the WildCode1
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