Qian Wang

Robust deep subspace clustering based on unsupervised fusion learning

Subspace clustering methods have been widely used in high-dimensional data analysis due to their excellent capability in processing high-dimensional data. However, traditional methods struggle with nonlinear data, whereas kernel mapping-based methods are limited by kernel function design. Although deep subspace cluster...