Multi-view clustering via spectral partitioning and local refinement

作者：

Highlights：

• A new multi-view clustering algorithm is proposed.

• The proposed MVNC algorithm uses spectral partitioning and local refinement.

• MVNC is compared to state-of-the-art algorithms using three real-world datasets.

• MVNC significantly outperforms the other algorithms.

• MVNC is parameter-free unlike existing multi-view clustering algorithms.

摘要

•A new multi-view clustering algorithm is proposed.•The proposed MVNC algorithm uses spectral partitioning and local refinement.•MVNC is compared to state-of-the-art algorithms using three real-world datasets.•MVNC significantly outperforms the other algorithms.•MVNC is parameter-free unlike existing multi-view clustering algorithms.

论文关键词：Multi-view clustering,Spectral clustering,Local refinement,Normalized cuts

论文评审过程：Received 30 January 2015, Revised 24 November 2015, Accepted 1 December 2015, Available online 15 January 2016, Version of Record 17 May 2016.

论文官网地址：https://doi.org/10.1016/j.ipm.2015.12.007