IEEE

Multi-view clustering via graph regularized and one-hot-constrained symmetric nonnegative matrix factorization

Abstract: The semi-supervised multiview clustering (MVC) methods based on non-negative matrix factorization (NMF) have attracted considerable attention due to their ability to utilize partial ...
IEEE

Auto-Weighted Multi-View Deep Non-Negative Matrix Factorization With Multi-Kernel Learning

Abstract: Deep matrix factorization (DMF) has the capability to discover hierarchical structures within raw data by factorizing matrices layer by layer, allowing it to utilize latent information for ...
GitHub

plot_compare_cross_decomposition.py

X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.5, shuffle=False) plt.scatter(X_train_r[:, 0], Y_train_r[:, 0], label="train", marker="o", s=25 ...
GitHub

MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition

@ARTICLE{10251420, author={Jouni, Mohamad and Mura, Mauro Dalla and Drumetz, Lucas and Comon, Pierre}, journal={IEEE Transactions on Geoscience and Remote Sensing}, title={MultiHU-TD: Multifeature ...