Centroid-based clustering for graph datasets.
Lifei ChenShengrui WangXuanhui YanPublished in: ICPR (2012)
Keyphrases
- k means
- graph theoretic
- graph partitioning
- graph clustering
- clustering algorithm
- graph model
- clustering method
- graph theory
- data mining tasks
- clustering approaches
- high dimensional datasets
- random walk
- hierarchical clustering
- self organizing maps
- graph construction
- similarity matrix
- graph representation
- similarity graph
- weighted graph
- graph matching
- data clustering
- data points
- synthetic and real datasets
- unsupervised learning
- cluster analysis
- spectral clustering
- connected components
- graph data
- normalized cut
- neural network
- gene expression profiles
- high dimensional data
- partitioning algorithm
- graph layout
- agglomerative clustering
- pairwise
- outlier detection
- directed graph
- synthetic datasets
- similarity function
- categorical data
- graph structure