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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Veröffentlicht in:	Procedia computer science Jg. 54; S. 405 - 411
Hauptverfasser:	Devi, P.R. Suganya, Baskaran, R., Abirami, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2015
Schlagworte:	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
Online-Zugang:	Volltext
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