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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 51–72 of 72 papers

TitleStatusHype
Towards Fewer Labels: Support Pair Active Learning for Person Re-identification—0
NN-EVCLUS: Neural Network-based Evidential Clustering—0
A constrained clustering based approach for matching a collection of feature sets—0
On Coresets for Fair Clustering in Metric and Euclidean Spaces and Their Applications—0
Optimal Decision Trees For Interpretable Clustering with Constraints (Extended Version)—0
Universal Weak Coreset—0
Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions—0
Semi-supervised Learning with Explicit Relationship Regularization—0
Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization—0
Clustering With Pairwise Relationships: A Generative Approach—0
Clustering With Side Information: From a Probabilistic Model to a Deterministic Algorithm—0
Constrained Clustering and Its Application to Face Clustering in Videos—0
Clustering-Based Validation Splits for Model Selection under Domain Shift—0
Constrained Dominant sets and Its applications in computer vision—0
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation—0
Approximation Schemes for Low-Rank Binary Matrix Approximation Problems—0
Constraints as Features—0
CDPS: Constrained DTW-Preserving Shapelets—0
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets—0
Benchmark Dataset for Timetable Optimization of Bus Routes in the City of New Delhi—0
A Unified Framework for Clustering Constrained Data without Locality Property—0
Consensus Clustering: An Embedding Perspective, Extension and Beyond—0
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