On the effect of hyperedge weights on hypergraph learning
作者：
Highlights：
• Three novel hyperedge weighting schemes have been introduced.
• The importance of the choice of hyperedge weight on hypergraph learning is experimentally verified.
• The popular hyperedge weighting schemes for classification and clustering are experimentally compared.
• The representative hyperedge weighting schemes for classification and clustering are suggested.
摘要
•Three novel hyperedge weighting schemes have been introduced.•The importance of the choice of hyperedge weight on hypergraph learning is experimentally verified.•The popular hyperedge weighting schemes for classification and clustering are experimentally compared.•The representative hyperedge weighting schemes for classification and clustering are suggested.
论文关键词：Hypergraph learning,Transductive learning,Graph learning,Image clustering,Image classification
论文评审过程：Received 2 February 2015, Revised 21 October 2016, Accepted 22 October 2016, Available online 27 November 2016, Version of Record 7 December 2016.
论文官网地址：https://doi.org/10.1016/j.imavis.2016.10.009
