Decoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis (ICA), and sparse coding algorithms
Keywords: FMRI; Classification; ICA; NMF; K-SVD; L1 Regularized Learning; Independent component analysis; Non-negative matrix factorization; Machine learning; Random forests; Support vector machines; Artifacts; Negative BOLD signal; Sparsity; Image processing; Patt