Adaptive metric dimensionality reduction.
Lee-Ad GottliebAryeh KontorovichRobert KrauthgamerPublished in: Theor. Comput. Sci. (2016)
Keyphrases
- dimensionality reduction
- metric learning
- data representation
- distance metric
- high dimensional data
- pattern recognition and machine learning
- euclidean distance
- high dimensionality
- low dimensional
- principal component analysis
- sparse representation
- linear discriminant analysis
- data points
- manifold learning
- high dimensional
- kernel pca
- feature extraction
- case study
- support vector machine
- metric space
- multiscale
- lower dimensional
- structure preserving