Dimension reduction for distance-based indexing.
Rui MaoWillard L. MirankerDaniel P. MirankerPublished in: SISAP (2010)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional
- feature extraction
- low dimensional
- high dimensional problems
- manifold learning
- feature selection
- high dimensional data
- data mining and machine learning
- feature space
- information retrieval
- discriminative information
- random projections
- unsupervised learning
- dimensionality reduction
- database
- distance measure
- cluster analysis
- high dimensionality
- variable selection
- singular value decomposition
- preprocessing
- databases
- partial least squares
- high dimensional data analysis
- multimedia databases
- linear discriminant analysis
- computer vision
- data sets
- text classification
- qr decomposition
- dimension reduction methods