Multi-Label Learning with Class-Based Features Using Extended Centroid-Based Classification Technique (CCBF)

Real world applications, such as news feeds categorization deal with multi-label classification problem, where the objects are associated with multiple class labels and each object is represented by a single instance (feature vector). In this paper, a new algorithm adaptation method called centroid-...

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Vydané v:	Procedia computer science Ročník 54; s. 405 - 411
Hlavní autori:	Devi, P.R. Suganya, Baskaran, R., Abirami, S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 2015
Predmet:	Class-based features Cure clustering algorithm Document classification Label correlations Multi-label learning Multi-label learning Cure clustering algorithm Class-based features Document classification Label correlations
ISSN:	1877-0509, 1877-0509
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