Study on Sample Reduction Method Based on Neighborhood Granulation
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-66906-5_12
Reference15 articles.
1. Li, D., Wang, Z., Cao, C., Liu, Y.: Information entropy based sample reduction for support vector data description. Appl. Soft Comput. 71, 1153–1160 (2018)
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3. Wang, J., Yue, S., Yu, X., Wang, Y.: An efficient data reduction method and its application to cluster analysis. Neurocomputing 238(17), 234–244 (2017)
4. Ma, X., Cripps, R.J.: Shape preserving data reduction for 3D surface points. Comput.-Aided Design 43(8), 902–909 (2011)
5. Ougiaroglou, S., Diamantaras, K.I., Evangelidis, G.: Exploring the effect of data reduction on neural network and support vector machine classification. Neurocomputing 280, 101–110 (2018)
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