On the Furthest Hyperplane Problem and Maximal Margin Clustering
Edo LibertyShachar LovettOmri WeinsteinPublished in: CoRR (2011)
Keyphrases
- maximal margin
- hyperplane
- data points
- convex hull
- support vector
- training samples
- linearly separable
- linear classifiers
- principal components
- feature space
- kernel function
- decision boundary
- support vector machine
- input space
- support vectors
- linear svm
- high dimensional
- high dimensional data
- svm classifier
- perceptron algorithm
- feature selection
- cross validation
- nearest neighbor