Scalable and robust sparse subspace clustering using randomized clustering and multilayer graphs.
Maryam AbdolaliNicolas GillisMohammad RahmatiPublished in: Signal Process. (2019)
Keyphrases
- subspace clustering
- clustering method
- clustering algorithm
- high dimensional data
- high dimensional
- clustering approaches
- clustering high dimensional data
- subspace clusters
- overlapping clusters
- subgraph mining
- subspace clustering algorithms
- graph theoretic
- high dimensionality
- subspace projections
- high dimensional feature spaces
- sparse representation
- dimensionality reduction
- document clustering
- multivariate time series data
- spectral clustering
- hierarchical clustering
- low dimensional
- nearest neighbor
- data points
- affinity matrix
- data objects
- graph databases
- unsupervised learning
- text mining
- k means
- data analysis
- decision trees