Graph Distances and Clustering.
Pierre MiasnikofAlexander Y. ShestopaloffLeonidas S. PitsoulisYuri LawryshynPublished in: CoRR (2020)
Keyphrases
- graph theoretic
- graph clustering
- clustering algorithm
- dissimilarity measure
- k means
- clustering method
- graph theory
- graph partitioning
- graph model
- graph construction
- cluster analysis
- graph layout
- structured data
- directed graph
- data clustering
- agglomerative clustering
- categorical data
- social networks
- self organizing maps
- distance function
- unsupervised learning
- random walk
- graph structure
- weighted graph
- bipartite graph
- graph mining
- fuzzy clustering
- hierarchical clustering
- outlier detection
- graph representation
- partitioning algorithm
- neural network