Adaptive Regularized Semi-Supervised Clustering Ensemble

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...

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Bibliographic Details
Main Authors: Rui Luo, Zhiwen Yu, Wenming Cao, Cheng Liu, Hau-San Wong, C. L. Philip Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Clustering ensemble
semi-supervised clustering
constraint selection
clustering fusion
Online Access:https://ieeexplore.ieee.org/document/8946636/

Internet

https://ieeexplore.ieee.org/document/8946636/

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