Sparse Subspace K-means.
Abdoul Wahab DialloNdèye NiangMory OuattaraPublished in: ICDM (Workshops) (2021)
Keyphrases
- k means
- high dimensional
- low rank representation
- regularized regression
- sparse data
- clustering method
- low dimensional
- cluster analysis
- spectral clustering
- subspace clustering
- feature space
- hierarchical clustering
- basis vectors
- self organizing maps
- dimensionality reduction
- clustering algorithm
- high dimensional data
- linear subspace
- data clustering
- principal component analysis
- sparse representation
- subspace learning
- compressive sensing
- rank minimization
- sparse matrix
- fuzzy k means
- feature extraction
- elastic net
- compressed sensing
- denoising
- image set
- document clustering