Hyperplane Clustering via Dual Principal Component Pursuit.
Manolis C. TsakirisRené VidalPublished in: ICML (2017)
Keyphrases
- hyperplane
- principal components
- data points
- principal component analysis
- kernel space
- linear classifiers
- maximum margin
- support vector
- dimensionality reduction
- incremental learning algorithm
- maximal margin
- input space
- unsupervised learning
- categorical data
- principal component regression
- support vectors
- linear svm
- face images
- linearly separable
- cluster analysis
- weight vector
- covariance matrix
- image processing
- high dimensional data
- high dimensionality
- linear separability