Construction of convex hull classifiers in high dimensions.
Tetsuji TakahashiMineichi KudoAtsuyoshi NakamuraPublished in: Pattern Recognit. Lett. (2011)
Keyphrases
- convex hull
- high dimensions
- training samples
- high dimensional
- high dimensional data
- high dimensional spaces
- convex polyhedra
- data points
- training data
- mixed integer
- training set
- convex sets
- extreme points
- decision trees
- feasible solution
- minimum distance
- simple polygon
- poor quality
- totally unimodular
- dimensionality reduction
- nearest neighbor
- feature space
- continuous variables
- high dimensionality
- euclidean distance
- low dimensional
- feature selection
- integer points
- neural network