Latent Space Sparse and Low-Rank Subspace Clustering.
Vishal M. PatelHien Van NguyenRené VidalPublished in: IEEE J. Sel. Top. Signal Process. (2015)
Keyphrases
- latent space
- subspace clustering
- high dimensional data
- high dimensional
- low dimensional
- dimensionality reduction
- low dimensional spaces
- lower dimensional
- latent variables
- manifold learning
- high dimensionality
- high dimensional spaces
- feature space
- gaussian process
- generative model
- subspace clusters
- parameter space
- clustering method
- data sets
- principal component analysis
- nearest neighbor
- matrix factorization
- data points
- data analysis
- probabilistic latent semantic analysis
- transfer learning
- original data
- gaussian processes
- clustering algorithm
- pattern recognition
- information extraction
- distance metric
- linear discriminant analysis
- text data
- co occurrence
- natural language processing
- dimension reduction
- higher dimensional
- euclidean distance
- dimensional data
- probabilistic model
- feature extraction
- learning algorithm