Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Constrained Clustering - MaRDI portal

Constrained Clustering

From MaRDI portal
Publication:3518610

DOI10.1201/9781584889977zbMath1142.68005OpenAlexW1516407653WikidataQ58475426 ScholiaQ58475426MaRDI QIDQ3518610

No author found.

Publication date: 8 August 2008

Full work available at URL: https://doi.org/10.1201/9781584889977




Related Items (22)

Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learningProbability-one homotopy methods for constrained clusteringSemi-supervised latent block model with pairwise constraintsOrder preserving hierarchical agglomerative clusteringA framework for deep constrained clusteringSemi-supervised model-based clustering with positive and negative constraintsSemi-supervised \(k\)-means clustering via DC programming approachAn LP-based \(k\)-means algorithm for balancing weighted point setsMaking clusterings fairer by post-processing: algorithms, complexity results and experimentsA framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchiesConstrained Graph Partitioning via Matrix Differential EquationsScheduling parallel conference sessions: an application of a novel hybrid clustering algorithm for ensuring constrained cardinalityA note on the formal implementation of the \(K\)-means algorithm with hard positive and negative constraintsSemi-supervised projected model-based clusteringEfficient solutions for weight-balanced partitioning problemsHierarchical constraintsDistributed consensus-based \(K\)-means algorithm in switching multi-agent networksThe blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectivesLossy kernelization of same-size clusteringContributions of Fuzzy Concepts to Data ClusteringClassification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk MinimizationLossy kernelization of same-size clustering




This page was built for publication: Constrained Clustering