Ensembles of k-nearest neighbors and dimensionality reduction.
Oleg OkunHelen PriisaluPublished in: IJCNN (2008)
Keyphrases
- k nearest neighbor
- dimensionality reduction
- knn
- nearest neighbor
- feature selection
- high dimensional
- dimensionality reduction methods
- input space
- data points
- high dimensionality
- high dimensional data
- feature extraction
- low dimensional
- pattern recognition
- neural network
- principal component analysis
- feature space
- decision trees
- support vector machine
- random forests
- knn classifier
- classification algorithm
- nonlinear dimensionality reduction
- text classification
- similarity search
- bayes error
- euclidean distance
- distance function
- manifold learning
- ensemble methods
- distance computation
- k nearest
- multi dimensional
- feature set
- training set
- machine learning
- data mining