Nearest Neighbor Voting in High-Dimensional Data: Learning from Past Occurrences.
Nenad TomasevDunja MladenicPublished in: ICDM Workshops (2011)
Keyphrases
- high dimensional data
- nearest neighbor
- high dimensional
- data sets
- high dimensionality
- k nearest neighbor
- data points
- dimensionality reduction
- variable selection
- high dimensional spaces
- knn
- low dimensional
- learning algorithm
- similarity search
- input data
- data analysis
- data distribution
- subspace clustering
- lower dimensional
- small sample size
- clustering high dimensional data
- supervised learning
- pattern recognition
- distance function
- linear discriminant analysis
- support vector
- original data
- feature selection
- nearest neighbor search
- computer vision