Feature selection embedded subspace clustering with low-rank and locality constraints.
Cong-Zhe YouXiaojun WuPublished in: ISC2 (2018)
Keyphrases
- low rank
- subspace clustering
- high dimensional data
- feature selection
- high dimensionality
- dimensionality reduction
- affinity matrix
- high dimensional
- rank minimization
- low rank matrix
- subspace clusters
- low dimensional
- nearest neighbor
- data sets
- matrix completion
- matrix factorization
- data points
- convex optimization
- missing data
- linear combination
- sparse representation
- data analysis
- original data
- text categorization
- clustering method
- singular value decomposition
- semi supervised
- feature space
- text data
- database
- unsupervised learning
- singular values
- subspace learning
- missing values
- linear subspace
- random projections
- knn
- similarity measure
- machine learning
- trace norm
- text classification