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Version du 3 mars 2021 à 16:42
en construction
Définition
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Français
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Anglais
Conceptual clustering
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.
Contributeurs: Imane Meziani, Isaline Hodecent, wiki
