Hybrid Subspace Learning for High-Dimensional Data.
Micol Marchetti-BowickBenjamin J. LengerichAnkur P. ParikhEric P. XingPublished in: CoRR (2018)
Keyphrases
- subspace learning
- high dimensional data
- dimensionality reduction
- low dimensional
- manifold learning
- high dimensional
- nearest neighbor
- high dimensionality
- data sets
- data analysis
- sparse representation
- data points
- similarity search
- principal component analysis
- nonlinear dimensionality reduction
- subspace clustering
- dimension reduction
- linear discriminant analysis
- data representation
- low rank
- dimensional data
- clustering high dimensional data
- feature selection
- euclidean distance
- feature extraction
- unsupervised learning
- input data
- feature space
- face recognition
- image processing
- dimensionality reduction methods
- learning algorithm