Sparse Tensor PCA via Tensor Decomposition for Unsupervised Feature Selection.
Junjing ZhengXinyu ZhangWeidong JiangPublished in: CoRR (2024)
Keyphrases
- tensor decomposition
- unsupervised feature selection
- tensor analysis
- data representation
- dimensionality reduction
- tensor factorization
- negative matrix factorization
- principal component analysis
- auxiliary information
- high order
- feature selection
- nonnegative matrix factorization
- data clustering
- low rank
- singular value decomposition
- face recognition
- feature extraction
- data matrix
- high dimensional
- principal components
- matrix factorization
- high dimensional data
- sparse representation
- pattern recognition
- visual data
- feature space
- image segmentation
- data sets
- convex optimization
- higher order
- document clustering
- gene expression data
- covariance matrix
- k means
- visual features
- unsupervised learning
- data points