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Constrained clustering

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. A cluster in which the members conform to all must-link and cannot-link constraints is called a chunklet.

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Constrained clustering

Nodes5
Edges4
Triples8
Avg. degree1.6
Density0.4
Components1

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Constrained clustering

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related to Examples · 5
Constrained clustering → CMWK-Means, Constrained Minkowski Weighted K-Means, COP K-meansPCKmeans, Examples, Pairwise Constrained K-means
related to Types of constraints · 2
Constrained clustering → Both, Together
is a · 1
Constrained clustering → class of semi-supervised learning algorithms

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Important terminology

constraints clustering constrained must-link cannot-link constraint algorithms cluster two instances used data algorithm examples guide find specified specify relation associated

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SubjectPredicateObjectConfidenceSrc
Constrained clusteringis aclass of semi-supervised learning algorithms0.90text
Constrained clusteringrelated to ExamplesExamples0.60section
Constrained clusteringrelated to ExamplesCOP K-meansPCKmeans0.60section
Constrained clusteringrelated to ExamplesPairwise Constrained K-means0.60section
Constrained clusteringrelated to ExamplesCMWK-Means0.60section
Constrained clusteringrelated to ExamplesConstrained Minkowski Weighted K-Means0.60section
Constrained clusteringrelated to Types of constraintsBoth0.60section
Constrained clusteringrelated to Types of constraintsTogether0.60section

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