Detecting and approximating decision boundaries in low-dimensional spaces.
Matthias GrajewskiAndreas KleefeldPublished in: Numer. Algorithms (2024)
Keyphrases
- decision boundary
- low dimensional spaces
- pattern classification
- multi type
- low dimensional
- data points
- support vector machine
- dimensionality reduction
- nearest neighbor
- high dimensional
- training set
- linear classifiers
- metric space
- hyperplane
- training samples
- subspace clustering
- multi class
- data distribution
- machine learning
- base classifiers
- test data
- data structure
- class labels
- unlabeled data
- neural network
- multi dimensional
- face images
- training data
- high dimensional spaces
- learning algorithm
- supervised learning