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- Constrained_clustering abstract "In computer science, constrained clustering is a class of semi-supervised learning algorithms. Typically, constrained clustering incorporates either a set of must-link constraints, cannot-link constraints, or both, with a Data clustering algorithm. Both a must-link and a cannot-link constraint define a relationship between two data instances. A must-link constraint is used to specify that the two instances in the must-link relation should be associated with the same cluster. A cannot-link constraint is used to specify that the two instances in the cannot-link relation should not be associated with the same cluster. These sets of constraints acts as a guide for which a constrained clustering algorithm will attempt to find clusters in a data set which satisfy the specified must-link and cannot-link constraints. Some constrained clustering algorithms will abort if no such clustering exists which satisfies the specified constraints. Others will try to minimize the amount of constraint violation should it be impossible to find a clustering which satisfies the constraints. Constraints could also be used to guide the selection of a clustering model among several possible solutions. Examples of constrained clustering algorithms include: COP K-means PCKmeans CMWK-Means ↑ ↑ ↑".
- Constrained_clustering wikiPageExternalLink constrainedClustering.html.
- Constrained_clustering wikiPageID "33391687".
- Constrained_clustering wikiPageLength "4927".
- Constrained_clustering wikiPageOutDegree "5".
- Constrained_clustering wikiPageRevisionID "683631455".
- Constrained_clustering wikiPageWikiLink Category:Cluster_analysis.
- Constrained_clustering wikiPageWikiLink Category:Data_clustering_algorithms.
- Constrained_clustering wikiPageWikiLink Cluster_analysis.
- Constrained_clustering wikiPageWikiLink Computer_science.
- Constrained_clustering wikiPageWikiLink Semi-supervised_learning.
- Constrained_clustering wikiPageWikiLinkText "Constrained clustering".
- Constrained_clustering wikiPageUsesTemplate Template:Cite_book.
- Constrained_clustering wikiPageUsesTemplate Template:Comp-sci-stub.
- Constrained_clustering wikiPageUsesTemplate Template:Reflist.
- Constrained_clustering subject Category:Cluster_analysis.
- Constrained_clustering subject Category:Data_clustering_algorithms.
- Constrained_clustering hypernym Algorithms.
- Constrained_clustering type Algorithm.
- Constrained_clustering type Datum.
- Constrained_clustering comment "In computer science, constrained clustering is a class of semi-supervised learning algorithms. Typically, constrained clustering incorporates either a set of must-link constraints, cannot-link constraints, or both, with a Data clustering algorithm. Both a must-link and a cannot-link constraint define a relationship between two data instances. A must-link constraint is used to specify that the two instances in the must-link relation should be associated with the same cluster.".
- Constrained_clustering label "Constrained clustering".
- Constrained_clustering sameAs Q5164359.
- Constrained_clustering sameAs m.0283qky.
- Constrained_clustering sameAs Q5164359.
- Constrained_clustering wasDerivedFrom Constrained_clustering?oldid=683631455.
- Constrained_clustering isPrimaryTopicOf Constrained_clustering.