Kernel two-dimensional ridge regression for subspace clustering.
Chong PengQian ZhangZhao KangChenglizhao ChenQiang ChengPublished in: Pattern Recognit. (2021)
Keyphrases
- subspace clustering
- ridge regression
- kernel regression
- linear regression
- high dimensional data
- regression methods
- regression method
- clustering method
- kernel function
- support vector machine
- subspace clusters
- high dimensional
- feature space
- clustering algorithm
- subspace projections
- support vector
- ls svm
- regression model
- high dimensionality
- kernel methods
- nearest neighbor
- logistic regression
- data sets
- positive and negative examples
- support vector machine svm
- similarity measure
- feature selection