Theoretical Analysis of Sparse Subspace Clustering with Missing Entries.
Manolis C. TsakirisRené VidalPublished in: CoRR (2018)
Keyphrases
- subspace clustering
- theoretical analysis
- missing entries
- high dimensional data
- missing values
- low rank
- low rank matrices
- tensor decomposition
- missing data
- rank minimization
- matrix completion
- affinity matrix
- low rank matrix
- high dimensional
- data matrix
- subspace clusters
- clustering algorithm
- low dimensional
- data points
- clustering method
- high dimensionality
- original data
- data representation
- sparse representation
- auxiliary information
- matrix factorization
- dimension reduction
- data analysis
- gene expression data
- data sets
- nearest neighbor
- high order
- dimensionality reduction
- measurement matrix
- singular value decomposition
- nonnegative matrix factorization
- sparse matrix
- text data
- linear discriminant analysis
- linear combination
- text categorization
- linear subspace
- pairwise
- structure from motion