S^2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering

arXiv:2403.09107v1 Announce Type: new
Abstract: Anchor-based large-scale multi-view clustering has attracted considerable attention for its effectiveness in handling massive datasets. However, current methods mainly seek the consensus embedding feature for clustering by exploring global correlations between anchor graphs or projection matrices.In this paper, we propose a simple yet efficient scalable multi-view tensor clustering (S^2MVTC) approach, where our focus is on learning correlations of embedding features within and across views. Specifically, we first construct the embedding feature tensor by stacking the …

arxiv clustering cs.cv cs.lg scalable simple tensor type view