Kernel truncated regression representation for robust subspace clustering.
Liangli ZhenDezhong PengWei WangXin YaoPublished in: Inf. Sci. (2020)
Keyphrases
- subspace clustering
- high dimensional data
- subspace clusters
- clustering method
- reproducing kernel hilbert space
- high dimensionality
- kernel ridge regression
- support vector
- high dimensional
- clustering algorithm
- data sets
- model selection
- clustering high dimensional data
- regression model
- semi supervised
- pattern recognition
- kernel function
- probabilistic model
- complex data
- data structure
- gaussian processes
- image processing
- feature selection
- machine learning
- data mining