Dimensionality Reduced $\ell^{0}$-Sparse Subspace Clustering.
Yingzhen YangPublished in: AISTATS (2018)
Keyphrases
- subspace clustering
- high dimensional
- high dimensional data
- sparse representation
- high dimensionality
- dimensionality reduction
- subspace clustering algorithms
- low dimensional
- subspace clusters
- high dimensional spaces
- data points
- feature space
- clustering high dimensional data
- clustering algorithm
- nearest neighbor
- clustering method
- lower dimensional
- subspace projections
- sparse coding
- high dimensional feature spaces
- low dimensional spaces
- principal component analysis
- original data
- face recognition
- text data
- neural network
- random projections
- high dimensional feature space
- subgraph mining
- data sets
- low rank
- machine learning
- kernel function
- pattern recognition
- semi supervised
- data analysis