Multiview Spectral Clustering of High-Dimensional Observational Data.
Arturo Román MessinaClaudia M. Castro-ArvizuAlejandro Castillo-TapiaErlan R. Murillo-AguirreO. Rodríguez-VillalónPublished in: IEEE Access (2023)
Keyphrases
- spectral clustering
- observational data
- high dimensional
- experimental data
- causal discovery
- clustering method
- directed acyclic graph
- data clustering
- pairwise
- causal bayesian networks
- causal structure
- dimensionality reduction
- low dimensional
- latent variables
- causal models
- causal relationships
- k means
- eigendecomposition
- similarity matrix
- high dimensionality
- image segmentation
- bayesian networks
- similarity search
- high dimensional data
- dimension reduction
- sample size
- constrained spectral clustering
- normalized cut
- clustering algorithm
- multiple views
- feature space
- information retrieval
- data points
- probabilistic model
- affinity matrix
- variable selection
- manifold learning
- graph laplacian
- learning algorithm
- data sets