IEEE

Graph Regularized Symmetric Non-Negative Matrix Factorization for Graph Clustering

Abstract: Symmetric non-negative matrix factorization (Sym-NMF) decomposes a high-dimensional symmetric non-negative matrix into a low-dimensional non-negative matrix and has been successfully used in ...
IEEE

Semi-Supervised Adaptive Symmetric Nonnegative Matrix Factorization for Multi-View Clustering

Abstract: Multi-view clustering (MVC) has gained attention for its ability to efficiently handle complex high-dimensional data. Many existing MVC methods rely on a technique known as Nonnegative ...