Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Luca_Coraggio>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Pietro_Coretto>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1016%2Fj.jmva.2023.105181>
foaf:homepage	<https://doi.org/10.1016/j.jmva.2023.105181>
dc:identifier	DBLP journals/ma/CoraggioC23 (xsd:string)
dc:identifier	DOI doi.org%2F10.1016%2Fj.jmva.2023.105181 (xsd:string)
dcterms:issued	2023 (xsd:gYear)
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rdfs:label	Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score. (xsd:string)
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swrc:pages	105181 (xsd:string)
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rdfs:seeAlso	<https://doi.org/10.1016/j.jmva.2023.105181>
dc:title	Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score. (xsd:string)
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