Ensemble selection with joint spectral clustering and structural sparsity
Pattern Recognition(2021)
摘要
•First unsupervised ensemble selection method with joint clustering and sparsity.•A prediction space leveraging the prediction power of an ensemble is the basis of the method.•The data in the prediction space, which globally describe the prediction distribution of the ensemble, are unlabeled.•Method’s ensemble results are robust to test instances and uses less space.
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关键词
Ensemble selection,Structural sparsity,Unsupervised selection,Spectral clustering,Dynamic and static,Robustness
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