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Adaptive Regularized Semi-Supervised Clustering Ensemble

Although semi-supervised clustering ensemble methods have achieved satisfactory performance, they fail to effectively utilize the constrained knowledge such as cannot-link and must-link when generating diverse ensemble members. In addition, they ignore negative effects brought about by redundancies...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Rui Luo, Zhiwen Yu, Wenming Cao, Cheng Liu, Hau-San Wong, C. L. Philip Chen
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2020-01-01
Schriftenreihe:IEEE Access
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Online-Zugang:https://ieeexplore.ieee.org/document/8946636/
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