Bi-level weighted multi-view clustering via hybrid particle swarm optimization

Bo Jiang, Feiyue Qiu, Liping Wang, Zhenjun Zhang

Abstract: Highlights•We propose a bi-level fuzzy weighting to discriminate view and feature simultaneously.•We develop a hybrid optimization based on particle swarm optimization.•We propose a representative based method to determine hyper-parameters.•Our method is compared with six clustering algorithm on three real-world datasets.