Clustering of multi-view relational data based on particle swarm optimization
作者：
Highlights：
• The paper provides multi-view clustering algorithms for relational data.
• The algorithms are based on Particle Swarm Optimization.
• They are able to select the relevant views for the clustering task.
• The algorithms consider eleven different fitness functions.
• Experiments with real multi-view data sets shows their usefulness.
摘要
•The paper provides multi-view clustering algorithms for relational data.•The algorithms are based on Particle Swarm Optimization.•They are able to select the relevant views for the clustering task.•The algorithms consider eleven different fitness functions.•Experiments with real multi-view data sets shows their usefulness.
论文关键词：PSO,Cluster analysis,Multi-view clustering,Relational data
论文评审过程：Received 4 March 2018, Revised 15 December 2018, Accepted 29 December 2018, Available online 9 January 2019, Version of Record 12 January 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.12.053
