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Conceptual clustering is a machine learning paradigm for unsupervised classification that has been defined by Ryszard S. Michalski in 1980 (Fisher 1987, Michalski 1980) and developed mainly during the 1980s. It is distinguished from ordinary data clustering by generating a concept description for each generated class. Most conceptual clustering methods are capable of generating hierarchical category structures; see Categorization for more information on hierarchy. Conceptual clustering is closely related to formal concept analysis, decision tree learning, and mixture model learning.

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rdfs:label	Conceptual clustering (en)
rdfs:comment	Conceptual clustering is a machine learning paradigm for unsupervised classification that has been defined by Ryszard S. Michalski in 1980 (Fisher 1987, Michalski 1980) and developed mainly during the 1980s. It is distinguished from ordinary data clustering by generating a concept description for each generated class. Most conceptual clustering methods are capable of generating hierarchical category structures; see Categorization for more information on hierarchy. Conceptual clustering is closely related to formal concept analysis, decision tree learning, and mixture model learning. (en)
foaf:depiction
dcterms:subject	Classification algorithms Learning methods Unsupervised learning
Wikipage page ID	6979740 (xsd:integer)
Wikipage revision ID	1119378855 (xsd:integer)
Link from a Wikipage to another Wikipage	Probabilistic Decision tree learning Classification algorithms Ryszard S. Michalski Mixture model Multiset Mutual information Logical conjunction Machine learning Cluster analysis Learning methods Formal concept analysis Specification and Description Language Cobweb (clustering) Unsupervised learning Categorization Category utility Unsupervised classification Category goodness Information gain
Link from a Wikipage to an external page	https://escholarship.org/uc/item/5r51t42n https://github.com/cmaclell/concept_formation http://ebot.gmu.edu/bitstream/handle/1920/1568/83-01.pdf%3Fsequence=1&isAllowed=y http://jbox.gmu.edu/bitstream/handle/1920/1613/86-30.pdf%3Fsequence=1&isAllowed=y http://www.mli.gmu.edu/papers/79-80/80-12.pdf https://link.springer.com/content/pdf/10.1007/BF00114265.pdf https://web.archive.org/web/20110409095215/http:/www.lsi.upc.es/~talavera/conceptual-clustering.html https://www.sciencedirect.com/science/article/pii/B9781483207735500079 https://inis.iaea.org/search/search.aspx%3Forig_q=RN:18080906
sameAs	Conceptual clustering Conceptual clustering Conceptual clustering Conceptual clustering
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thumbnail	wiki-commons:Special:FilePath/Concept_tree.png?width=300
has abstract	Conceptual clustering is a machine learning paradigm for unsupervised classification that has been defined by Ryszard S. Michalski in 1980 (Fisher 1987, Michalski 1980) and developed mainly during the 1980s. It is distinguished from ordinary data clustering by generating a concept description for each generated class. Most conceptual clustering methods are capable of generating hierarchical category structures; see Categorization for more information on hierarchy. Conceptual clustering is closely related to formal concept analysis, decision tree learning, and mixture model learning. (en)
gold:hypernym	Machine
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foaf:isPrimaryTopicOf	wikipedia-en:Conceptual_clustering
is Link from a Wikipage to another Wikipage of	Glossary of artificial intelligence Conceptual system Cluster analysis Formal concept analysis Cobweb (clustering) Category utility Conceptual Conceptual Clustering Outline of machine learning Incremental concept formation
is Wikipage redirect of	Conceptual Clustering Incremental concept formation
is Wikipage disambiguates of	Conceptual
is foaf:primaryTopic of	wikipedia-en:Conceptual_clustering

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