Group-sparse subspace clustering with missing data.
Daniel L. Pimentel-AlarcónLaura BalzanoRoummel F. MarciaRobert D. NowakRebecca WillettPublished in: SSP (2016)
Keyphrases
- missing data
- subspace clustering
- high dimensional
- high dimensional data
- missing values
- subspace clusters
- clustering method
- low rank
- clustering algorithm
- structure from motion
- incomplete data
- clustering high dimensional data
- matrix factorization
- subspace projections
- dimensionality reduction
- multiple imputation
- data imputation
- low dimensional
- random projections
- neural network
- dimension reduction
- high dimensionality
- training data
- feature extraction
- low rank matrix
- feature selection
- learning algorithm
- data mining