A Graph-Based Approach for Semisupervised Clustering.
Tetsuya YoshidaPublished in: Comput. Intell. (2014)
Keyphrases
- graph theoretic
- semi supervised
- graph clustering
- k means
- graph theory
- clustering method
- semi supervised clustering
- clustering algorithm
- graph partitioning
- directed graph
- graph model
- data clustering
- clustering approaches
- graph construction
- graph structure
- random walk
- cluster analysis
- self organizing maps
- spectral clustering
- bipartite graph
- unsupervised learning
- community discovery
- agglomerative clustering
- similarity function
- semi supervised classification
- similarity matrix
- graph representation
- categorical data
- graph matching
- data sets
- document clustering
- connected components
- high dimensional data
- pairwise
- neural network