Data heterogeneity consideration in semi-supervised learning

作者：

Highlights：

• Data heterogeneity nature is considered in machine learning context.

• An adaptive data graph construction method is proposed.

• Representative data identification has been studied.

摘要

•Data heterogeneity nature is considered in machine learning context.•An adaptive data graph construction method is proposed.•Representative data identification has been studied.

论文关键词：Semi-supervised learning,Graph construction,Complex networks,Representatives selection,Principal components analysis

论文评审过程：Received 18 March 2015, Revised 17 September 2015, Accepted 19 September 2015, Available online 3 October 2015, Version of Record 10 November 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.09.026