CUR Decompositions, Similarity Matrices, and Subspace Clustering.
Akram AldroubiKeaton HammAhmet Bugra KokuAli SekmenPublished in: CoRR (2017)
Keyphrases
- subspace clustering
- similarity matrices
- low rank
- high dimensional data
- kernel matrix
- similarity matrix
- clustering method
- singular value decomposition
- low rank approximation
- clustering algorithm
- linear combination
- high dimensional
- subspace clusters
- spectral clustering
- high dimensionality
- dimensionality reduction
- dimension reduction
- similarity values
- input space
- low dimensional
- co occurrence
- missing data
- pairwise
- convex optimization
- data analysis
- nearest neighbor
- data sets
- text data
- matrix factorization
- cluster analysis
- kernel function