Pivot selection: Dimension reduction for distance-based indexing.
Rui MaoWillard L. MirankerDaniel P. MirankerPublished in: J. Discrete Algorithms (2012)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- manifold learning
- low dimensional
- high dimensional problems
- high dimensional
- feature selection
- singular value decomposition
- data mining and machine learning
- high dimensional data
- linear discriminant analysis
- database
- unsupervised learning
- dimensionality reduction
- high dimensional data analysis
- discriminative information
- variable selection
- feature space
- cluster analysis
- image processing
- high dimensionality
- information retrieval
- data sets
- random projections
- euclidean distance
- data points
- machine learning
- data mining
- sparse metric learning