Randomized Subspace Learning Algorithms with Subspace Structure Preservation Guarantees.
Devansh ArpitGaurav SrivastavaVenu GovindarajuPublished in: CoRR (2014)
Keyphrases
- subspace learning
- learning algorithm
- subspace clustering
- low dimensional
- linear subspace
- principal component analysis
- high dimensional data
- feature space
- subspace methods
- dimensionality reduction
- kernel based nonlinear
- clustering high dimensional data
- subspace clusters
- feature extraction
- machine learning
- high dimensional
- structural information
- training data
- learning process
- artificial neural networks
- bayesian networks
- input data
- machine learning algorithms
- transfer learning
- lower dimensional
- probabilistic model
- reinforcement learning