Graph Clustering

Graph clustering is the process of dividing nodes into several clusters based on the edge structure of the graph, aiming to ensure that there are many edges within each cluster and very few edges between clusters, thereby achieving a non-overlapping partition of the nodes. This method has significant application value in community detection, network analysis, and data mining, effectively revealing the underlying structures and patterns in graph data.