One-Step Late Fusion Multi-view Clustering with Compressed Subspace

arXiv:2401.01558v2 Announce Type: replace
Abstract: Late fusion multi-view clustering (LFMVC) has become a rapidly growing class of methods in the multi-view clustering (MVC) field, owing to its excellent computational speed and clustering performance. One bottleneck faced by existing late fusion methods is that they are usually aligned to the average kernel function, which makes the clustering performance highly dependent on the quality of datasets. Another problem is that they require subsequent k-means clustering after obtaining the consensus partition matrix to …

abstract arxiv become class clustering computational cs.cv function fusion kernel performance speed type view