Multiple strong and balanced cluster-based ensemble of deep learners

作者：

Highlights：

• Random subspace generation through clustering.

• A methodology of classifying clusters as balanced or strong data clusters.

• A methodology of balancing strong data clusters.

• A methodology of training an ensemble of CNNs on small structured non image datasets.

摘要

•Random subspace generation through clustering.•A methodology of classifying clusters as balanced or strong data clusters.•A methodology of balancing strong data clusters.•A methodology of training an ensemble of CNNs on small structured non image datasets.

论文关键词：Deep learning, Ensemble classifier,Neural networks,Clustering

论文评审过程：Received 15 March 2019, Revised 18 January 2020, Accepted 4 May 2020, Available online 26 May 2020, Version of Record 4 June 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107420