Well-Separation and Hyperplane Transversals in High Dimensions.
Helena BergoldDaniel BertschingerNicolas GrelierWolfgang MulzerPatrick SchniderPublished in: CoRR (2022)
Keyphrases
- hyperplane
- high dimensions
- high dimensional data
- high dimensional
- data points
- input space
- training samples
- support vector
- feature space
- dimensionality reduction
- kernel function
- high dimensional spaces
- support vector machine
- poor quality
- svm classifier
- principal components
- convex hull
- low dimensional
- support vectors
- linearly separable
- linear separability
- neural network
- high dimensionality
- image processing
- distance function
- data warehouse
- nearest neighbor
- training set
- high quality