Abstract | ||
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•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. |
Year | DOI | Venue |
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2021 | 10.1016/j.patcog.2021.108061 | Pattern Recognition |
Keywords | DocType | Volume |
Ensemble selection,Structural sparsity,Unsupervised selection,Spectral clustering,Dynamic and static,Robustness | Journal | 119 |
Issue | ISSN | Citations |
1 | 0031-3203 | 1 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhenlei Wang | 1 | 6 | 1.90 |
Suyun Zhao | 2 | 585 | 20.33 |
Zheng Li | 3 | 83 | 30.38 |
Hong Chen | 4 | 25 | 9.84 |
Cuiping Li | 5 | 39 | 9.19 |
Yufeng Shen | 6 | 1 | 0.35 |