Diversity-induced fuzzy clustering with Laplacian regularization

Yunlong Gao, Qinting Wu, Zhenghong Xu, Jinyan Pan, Guifang Shao, Qingyuan Zhu, Feiping Nie

Abstract: Highlights•HSIC introduction maximizes cluster independence, enhancing clustering diversity.•Laplacian regularization fuses local and global data features.•DiFCMLR uses IRW and ADMM to speed up algorithm convergence for better solutions.•A unified framework integrates fuzzy clustering, diversity learning and Laplacian regularization.•Our model adjusts gradient descent direction for better solutions.