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 ...
IEEE

Multiple Manifold Regularization Based on Non-Negative Matrix Factorization for Multi-View ...

Abstract: In recent years, non-negative matrix factorization (NMF) cluster analysis of multi-view data has shown outstanding results in data mining and machine learning. Multi-view data typically ...
GitHub

LaFA: Latent Feature Attacks on Non-negative Matrix Factorization

As Machine Learning (ML) applications rapidly grow, concerns about adversarial attacks compromising their reliability have gained significant attention. One unsupervised ML method known for its ...