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