Multi-view Subspace Clustering via An Adaptive Consensus Graph Filter

arXiv:2403.08787v1 Announce Type: cross
Abstract: Multiview subspace clustering (MVSC) has attracted an increasing amount of attention in recent years. Most existing MVSC methods first collect complementary information from different views and consequently derive a consensus reconstruction coefficient matrix to indicate the subspace structure of a multi-view data set. In this paper, we initially assume the existence of a consensus reconstruction coefficient matrix and then use it to build a consensus graph filter. In each view, the filter is employed for …

abstract arxiv attention clustering consensus cs.cv cs.lg data data set filter graph information matrix paper set type via view