Subspace clustering using a low-rank constrained autoencoder.
Yuanyuan ChenLei ZhangZhang YiPublished in: Inf. Sci. (2018)
Keyphrases
- low rank
- subspace clustering
- high dimensional data
- dimensionality reduction
- low rank matrix
- subspace clusters
- matrix completion
- nearest neighbor
- high dimensional
- data sets
- high dimensionality
- low dimensional
- linear combination
- affinity matrix
- data points
- matrix factorization
- singular value decomposition
- missing data
- rank minimization
- semi supervised
- linear subspace
- clustering method
- clustering algorithm
- sparse representation
- data analysis
- convex optimization
- trace norm
- original data
- subspace projections
- missing values
- high order
- input data
- principal component analysis
- computer vision
- probabilistic model
- pattern recognition
- decision trees
- image processing
- machine learning