An efficient matrix factorization based low-rank representation for subspace clustering.
Yuanyuan LiuLicheng JiaoFanhua ShangPublished in: Pattern Recognit. (2013)
Keyphrases
- matrix factorization
- subspace clustering
- low rank
- low rank representation
- affinity matrix
- high dimensional data
- collaborative filtering
- clustering method
- linear subspace
- missing data
- recommender systems
- dimensionality reduction
- clustering algorithm
- high dimensional
- negative matrix factorization
- nearest neighbor
- nonnegative matrix factorization
- low dimensional
- semi supervised
- high dimensionality
- data analysis
- decision trees
- input image
- active learning
- high order
- least squares