CUR Decompositions, Similarity Matrices, and Subspace Clustering.
Akram AldroubiKeaton HammAhmet Bugra KokuAli SekmenPublished in: Frontiers Appl. Math. Stat. (2018)
Keyphrases
- subspace clustering
- similarity matrices
- low rank
- high dimensional data
- kernel matrix
- similarity matrix
- clustering method
- low rank approximation
- singular value decomposition
- clustering algorithm
- subspace clusters
- linear combination
- high dimensional
- spectral clustering
- dimensionality reduction
- low dimensional
- similarity values
- dimension reduction
- similarity measure
- input space
- high dimensionality
- convex optimization
- similarity search
- kernel methods
- data sets
- data points
- pairwise
- data analysis
- nearest neighbor
- matrix factorization
- kernel function
- training set
- decision trees
- computer vision