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- Q5158434 subject Q7059359.
- Q5158434 subject Q8382009.
- Q5158434 abstract "Conceptual clustering is a machine learning paradigm for unsupervised classification 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.".
- Q5158434 wikiPageExternalLink conceptual-clustering.html.
- Q5158434 wikiPageExternalLink concept_formation.
- Q5158434 wikiPageWikiLink Q1152135.
- Q5158434 wikiPageWikiLink Q1437394.
- Q5158434 wikiPageWikiLink Q16766476.
- Q5158434 wikiPageWikiLink Q191081.
- Q5158434 wikiPageWikiLink Q2260434.
- Q5158434 wikiPageWikiLink Q252973.
- Q5158434 wikiPageWikiLink Q2539.
- Q5158434 wikiPageWikiLink Q255166.
- Q5158434 wikiPageWikiLink Q5051858.
- Q5158434 wikiPageWikiLink Q5139036.
- Q5158434 wikiPageWikiLink Q5263783.
- Q5158434 wikiPageWikiLink Q622825.
- Q5158434 wikiPageWikiLink Q7059359.
- Q5158434 wikiPageWikiLink Q8382009.
- Q5158434 wikiPageWikiLink Q864377.
- Q5158434 wikiPageWikiLink Q912550.
- Q5158434 wikiPageWikiLink Q9492.
- Q5158434 comment "Conceptual clustering is a machine learning paradigm for unsupervised classification 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.".
- Q5158434 label "Conceptual clustering".