Nearest neighbor voting in high dimensional data: Learning from past occurrences.
Nenad TomasevDunja MladenicPublished in: Comput. Sci. Inf. Syst. (2012)
Keyphrases
- high dimensional data
- nearest neighbor
- high dimensional
- learning algorithm
- high dimensionality
- data points
- low dimensional
- dimensionality reduction
- subspace clustering
- data distribution
- input space
- manifold learning
- knn
- active learning
- data analysis
- input data
- high dimensional spaces
- dimensional data
- high dimensions
- training data
- database
- data sets
- nearest neighbor search
- small sample size
- dimension reduction
- sparse representation
- clustering method
- k nearest neighbor
- pattern recognition
- feature selection