Improving Fusion of Dimensionality Reduction Methods for Nearest Neighbor Classification.
Sampath DeegallaHenrik BoströmPublished in: ICMLA (2009)
Keyphrases
- nearest neighbor classification
- dimensionality reduction methods
- dimensionality reduction
- discriminant analysis
- principal component analysis
- knn
- data sets
- distance measure
- preprocessing step
- principal components analysis
- nonlinear dimensionality reduction
- random projections
- nearest neighbor
- k nearest neighbor
- metric learning
- feature set
- locally adaptive
- distance function
- document clustering
- feature selection
- high dimensional data
- feature extraction
- low dimensional
- text classification
- support vector machine
- pairwise
- feature space
- information retrieval
- high dimensionality
- original data
- dimension reduction
- supervised learning
- data points
- pattern recognition
- computer vision