Kernel Two-Dimensional Ridge Regression for Subspace Clustering.
Chong PengQian ZhangZhao KangChenglizhao ChenQiang ChengPublished in: CoRR (2020)
Keyphrases
- subspace clustering
- ridge regression
- kernel regression
- high dimensional data
- regression methods
- subspace clusters
- clustering method
- regression method
- linear regression
- high dimensional
- support vector machine
- kernel function
- clustering algorithm
- regression model
- ls svm
- support vector
- kernel methods
- nearest neighbor
- feature space
- maximum likelihood
- pairwise
- data mining