Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling.
Jiuyun HuZiyue LiChen ZhangFugee TsungHao YanPublished in: CoRR (2024)
Keyphrases
- low rank
- low rank representation
- rank minimization
- high dimensional data
- high order
- low rank matrix
- trace norm
- frobenius norm
- affinity matrix
- low rank subspace
- linear combination
- tensor decomposition
- dimensionality reduction
- eigendecomposition
- subspace clustering
- matrix completion
- missing data
- spectral clustering
- convex optimization
- matrix factorization
- singular value decomposition
- semi supervised
- clustering algorithm
- kernel matrix
- robust principal component analysis
- clustering method
- low dimensional
- passenger flow
- singular values
- data matrix
- data analysis
- nearest neighbor
- high dimensional
- data points
- higher order
- data sets
- k means
- pairwise
- tensor factorization
- nonnegative matrix factorization
- autonomous agents
- regularized regression