Subspace Clustering via Variance Regularized Ridge Regression.
Chong PengZhao KangQiang ChengPublished in: CVPR (2017)
Keyphrases
- subspace clustering
- ridge regression
- pseudo inverse
- linear regression
- high dimensional data
- clustering method
- subspace clusters
- clustering algorithm
- regression methods
- covariance matrix
- ls svm
- least squares
- support vector machine
- high dimensional
- correlation coefficient
- regression method
- subspace projections
- high dimensionality
- low dimensional
- dimensionality reduction
- similarity measure
- learning algorithm