Anchor-free Clustering based on Anchor Graph Factorization

arXiv:2402.15688v1 Announce Type: new
Abstract: Anchor-based methods are a pivotal approach in handling clustering of large-scale data. However, these methods typically entail two distinct stages: selecting anchor points and constructing an anchor graph. This bifurcation, along with the initialization of anchor points, significantly influences the overall performance of the algorithm. To mitigate these issues, we introduce a novel method termed Anchor-free Clustering based on Anchor Graph Factorization (AFCAGF). AFCAGF innovates in learning the anchor graph, requiring only the computation of …

abstract algorithm anchor arxiv clustering cs.lg data factorization free graph performance pivotal scale the algorithm type