A clustering tool for interrogating finite element models based on eigenvectors of graph adjacency.
Ramaseshan KannanPublished in: CoRR (2023)
Keyphrases
- finite element model
- spectral clustering
- graph theoretic
- graph clustering
- clustering algorithm
- clustering method
- graph partitioning
- laplacian matrix
- graph laplacian
- k means
- strongly connected
- graph model
- finite element
- data clustering
- principal component analysis
- covariance matrix
- similarity matrix
- experimental data
- data points
- graph matching
- spectral methods
- graph structure
- random walk
- graph representation
- boundary conditions
- finite element analysis
- graph construction
- material properties
- directed graph
- eigenvalues and eigenvectors
- finite element methods