Optimal Compression of Approximate Inner Products and Dimension Reduction.
Noga AlonBo'az KlartagPublished in: FOCS (2017)
Keyphrases
- dimension reduction
- feature extraction
- low dimensional
- high dimensional problems
- high dimensional
- high dimensional data
- principal component analysis
- singular value decomposition
- high dimensionality
- partial least squares
- random projections
- variable selection
- linear discriminant analysis
- cluster analysis
- unsupervised learning
- data mining and machine learning
- feature space
- dimensionality reduction
- feature selection
- manifold learning
- manifold embedding
- dimension reduction methods
- bayesian networks
- image segmentation
- feature subspace
- decision trees
- data mining
- qr decomposition
- data sets