Probabilistic Low-Rank Subspace Clustering.
S. Derin BabacanShinichi NakajimaMinh N. DoPublished in: NIPS (2012)
Keyphrases
- low rank
- subspace clustering
- high dimensional data
- affinity matrix
- subspace clusters
- high dimensional
- low rank matrix
- dimensionality reduction
- matrix completion
- missing data
- nearest neighbor
- low dimensional
- high dimensionality
- data sets
- convex optimization
- probabilistic model
- rank minimization
- clustering method
- data analysis
- data points
- matrix factorization
- original data
- linear combination
- trace norm
- high order
- semi supervised
- sparse representation
- input data
- generative model
- clustering algorithm
- subspace projections
- singular value decomposition
- denoising
- active learning
- pairwise
- database
- computer vision