On Low Rank Approximation of Binary Matrices.
Chen DanKristoffer Arnsfelt HansenHe JiangLiwei WangYuchen ZhouPublished in: CoRR (2015)
Keyphrases
- low rank approximation
- binary matrices
- low rank
- singular value decomposition
- binary matrix
- subspace learning
- spectral clustering
- kernel matrix
- missing data
- linear combination
- iterative algorithms
- convex optimization
- matrix factorization
- discrete tomography
- data dependent
- adjacency matrix
- latent semantic indexing
- nonnegative matrix factorization
- high dimensional data
- nearest neighbor
- high order
- principal component analysis
- data sets
- machine learning