Spectral Clustering Using Evolving Similarity Graphs.
Christina ChrysouliAnastasios TefasPublished in: IJCCI (ECTA) (2014)
Keyphrases
- spectral clustering
- similarity graph
- similarity matrix
- normalized cut
- pairwise similarities
- graph partitioning
- graph clustering
- graph construction
- spectral methods
- alternative clusterings
- pairwise
- clustering method
- data clustering
- clustering quality
- laplacian matrix
- k means
- clustering algorithm
- graph laplacian
- eigendecomposition
- graph kernels
- similarity measure
- evolutionary clustering
- image segmentation
- affinity matrix
- adjacency matrix
- graph structure
- distance function
- data mining
- graph model
- graph mining
- graph matching
- similarity function
- distance measure
- constrained spectral clustering
- undirected graph
- graph structures
- label propagation
- similarity metric
- weighted graph
- directed graph
- co occurrence
- computer vision
- machine learning