A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data.
Chong YouChi LiDaniel P. RobinsonRené VidalPublished in: ECCV (9) (2018)
Keyphrases
- class imbalanced data
- clustering algorithm
- subspace clustering
- feature selection
- image completion
- clustering method
- high dimensional data
- principal component analysis
- feature extraction
- subspace clusters
- web scale
- high dimensional
- low dimensional
- lightweight
- feature space
- data clustering
- highly scalable
- data sets
- clustering analysis
- hierarchical clustering
- graph matching
- fuzzy clustering
- spectral clustering
- document clustering
- cluster analysis
- machine learning
- fuzzy c means
- texture synthesis
- cluster centers
- linear subspace
- overlapping clusters
- image processing
- grouping algorithm
- clustering high dimensional data