Kernel Truncated Regression Representation for Robust Subspace Clustering.
Liangli ZhenDezhong PengXin YaoPublished in: CoRR (2017)
Keyphrases
- subspace clustering
- high dimensional data
- subspace clusters
- reproducing kernel hilbert space
- clustering algorithm
- kernel function
- clustering method
- model selection
- support vector
- high dimensional
- kernel methods
- feature space
- gaussian processes
- kernel ridge regression
- clustering high dimensional data
- image data
- pattern mining
- data sets