Sparse Subspace Clustering with Linear Subspace-Neighborhood-Preserving Data Embedding.
Jwo-Yuh WuLiang-Chi HuangWen-Hsuan LiHau-Hsiang ChanChun-Hung LiuRung-Hung GauPublished in: SAM (2020)
Keyphrases
- linear subspace
- subspace clustering
- data embedding
- high dimensional
- manifold learning
- high dimensional data
- low dimensional
- sparse representation
- clustering algorithm
- clustering method
- subspace learning
- data points
- dimensionality reduction
- high dimensionality
- nearest neighbor
- sparse coding
- dimension reduction
- k means
- similarity search
- feature space
- data sets
- high order
- computational complexity
- training data
- higher order
- data mining
- neural network