Robust subspace clustering by Cauchy loss function.
Xuelong LiQuanmao LuYongsheng DongDacheng TaoPublished in: CoRR (2019)
Keyphrases
- loss function
- subspace clustering
- high dimensional data
- pairwise
- subspace clusters
- support vector
- clustering high dimensional data
- risk minimization
- high dimensional
- clustering method
- reproducing kernel hilbert space
- convex loss functions
- empirical risk
- clustering algorithm
- nearest neighbor
- subgraph mining
- boosting algorithms
- feature space
- boosting framework
- data sets