Spectral clustering and semi-supervised learning using evolving similarity graphs.
Christina ChrysouliAnastasios TefasPublished in: Appl. Soft Comput. (2015)
Keyphrases
- spectral clustering
- semi supervised learning
- graph construction
- similarity graph
- label propagation
- similarity matrix
- normalized cut
- graph partitioning
- semi supervised
- data clustering
- unlabeled data
- graph laplacian
- pairwise
- graph clustering
- clustering method
- semi supervised classification
- labeled data
- similarity measure
- active learning
- k means
- unsupervised learning
- adjacency matrix
- machine learning
- clustering algorithm
- neighborhood graph
- pairwise constraints
- supervised learning
- eigendecomposition
- co training
- image segmentation
- graph kernels
- weighted graph
- manifold structure
- labeled and unlabeled data
- training data
- negative matrix factorization
- distance metric
- prior knowledge
- instance level constraints