Research on Multi-Label Semi-Supervised Learning Algorithm Based on Dual Selection Criteria

With the rapid development of information technology, efficient multi label classification of massive data is one of the important tasks of big data systems. Semi supervised learning algorithm is an effective data classification method, currently mainly applied to the classification of single label...

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Autors principals:	Rongxin Liu, Yufang Lu, Lei Shi, Shuru Tan
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Multi-label semi-supervised learning COIN structure K-nearest neighbor algorithm
Accés en línia:	https://ieeexplore.ieee.org/document/10445172/
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