Detecting and approximating decision boundaries in low dimensional spaces.
Matthias GrajewskiAndreas KleefeldPublished in: CoRR (2023)
Keyphrases
- decision boundary
- low dimensional spaces
- pattern classification
- training samples
- data points
- multi type
- nearest neighbor
- support vector machine
- high dimensional
- low dimensional
- training set
- dimensionality reduction
- linear classifiers
- hyperplane
- high dimensional spaces
- subspace clustering
- kernel function
- data distribution
- support vectors
- unlabeled data
- metric space
- svm classifier
- database systems
- probabilistic model
- latent space
- feature vectors
- feature extraction