Sparse Subspace Clustering with Missing Entries.
Congyuan YangDaniel P. RobinsonRené VidalPublished in: ICML (2015)
Keyphrases
- subspace clustering
- missing entries
- high dimensional data
- missing values
- low rank
- missing data
- low rank matrices
- low rank matrix
- high dimensional
- rank minimization
- tensor decomposition
- affinity matrix
- matrix completion
- data matrix
- subspace clusters
- clustering method
- dimensionality reduction
- original data
- high dimensionality
- missing parts
- data points
- clustering algorithm
- measurement matrix
- low dimensional
- data analysis
- singular value decomposition
- data sets
- nearest neighbor
- sparse representation
- data representation
- text data
- dimension reduction
- auxiliary information
- matrix factorization
- convex optimization
- gene expression data
- high order
- similarity measure
- linear subspace
- machine learning