Matrix Factorization System

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A Matrix Factorization System is a matrix processing system that applies a matrix factorization algorithm to solve a matrix factorization task.



   2.5. Decomposing signals in components (matrix factorization problems)
       2.5.1. Principal component analysis (PCA)
  Exact PCA and probabilistic interpretation
  Incremental PCA
  PCA using randomized SVD
  Kernel PCA
  Sparse principal components analysis (SparsePCA and MiniBatchSparsePCA)
       2.5.2. Truncated singular value decomposition and latent semantic analysis
       2.5.3. Dictionary Learning
  Sparse coding with a precomputed dictionary
  Generic dictionary learning
  Mini-batch dictionary learning
       2.5.4. Factor Analysis
       2.5.5. Independent component analysis (ICA)
       2.5.6. Non-negative matrix factorization (NMF or NNMF)
  NMF with the Frobenius norm
  NMF with a beta-divergence
       2.5.7. Latent Dirichlet Allocation (LDA)