LSD-C: Linearly Separable Deep Clusters.
Sylvestre-Alvise RebuffiSébastien EhrhardtKai HanAndrea VedaldiAndrew ZissermanPublished in: CoRR (2020)
Keyphrases
- linearly separable
- input space
- data points
- linear separability
- hyperplane
- linear classifiers
- high dimensional feature space
- clustering algorithm
- convex hull
- feature space
- decision boundary
- infinite dimensional
- dimensionality reduction
- low dimensional
- input data
- kernel function
- high dimensional data
- high dimensional
- feature vectors
- data streams
- training set
- feature selection
- decision trees
- sample set
- positive definite
- lower dimensional
- nearest neighbor
- semi supervised