Adaptive Neighbors Graph Learning for Large-Scale Data Clustering using Vector Quantization and Self-Regularization

Yongda Cai, Joshua Zhexue Huang, Alladoumbaye Ngueilbaye, Xudong Sun

Abstract: Highlights•A fast adaptive neighbors graph learning method using vector quantization data.•A graph learning method with graph connection self-regularizing mechanism.•The high time complexity in adaptive neighbors graph learning has been resolved.•The method improves similarity graph learning by avoiding balance regularization.