Unsupervised nearest neighbor regression for dimensionality reduction.
Oliver KramerPublished in: Soft Comput. (2015)
Keyphrases
- nearest neighbor
- dimensionality reduction
- high dimensional
- high dimensional data
- unsupervised learning
- data points
- discriminant projection
- k nearest neighbor
- knn
- high dimensional spaces
- regression problems
- high dimensionality
- nearest neighbor search
- low dimensional
- regression model
- unsupervised feature selection
- semi supervised
- feature selection
- regression algorithm
- manifold learning
- pattern recognition and machine learning
- pattern recognition
- model selection
- nearest neighbor algorithm
- principal component analysis
- gaussian processes
- neural network
- linear discriminant analysis
- input space
- training set
- subspace learning
- distance function
- dimensionality reduction methods
- metric learning
- linear regression
- support vector
- feature space
- principal components
- data representation
- dimension reduction
- feature extraction
- text categorization
- text classification
- machine learning
- decision trees
- locally linear embedding
- regression method
- supervised learning
- kernel pca
- multi dimensional
- partial least squares
- index structure
- similarity search
- support vector regression