Probabilistic Subspace Clustering Via Sparse Representations.
Amir AdlerMichael EladYacov Hel-OrPublished in: IEEE Signal Process. Lett. (2013)
Keyphrases
- subspace clustering
- sparse representation
- high dimensional data
- dictionary learning
- dimensionality reduction
- subspace clusters
- sparse coding
- clustering high dimensional data
- nearest neighbor
- high dimensional
- low dimensional
- clustering method
- compressive sensing
- image classification
- high dimensionality
- joint optimization
- probabilistic model
- subspace learning
- data points
- data sets
- negative matrix factorization
- text data
- random projections
- generative model
- data analysis
- manifold learning
- regularized least squares
- face recognition
- subspace projections
- clustering algorithm
- input data
- object recognition
- sparse reconstruction
- subgraph mining