eigengap

Example:The eigengap analysis of the graph Laplacian revealed the number of communities in the social network data.

Definition:A technique in machine learning that segments objects into clusters where the clusters are of high density but the regions between clusters are of low density. The eigengap helps in determining the optimal number of clusters.

Example:By examining the eigengap, we can estimate the number of clusters in the graph data set.

Definition:A matrix representation of a graph that can be used to analyze and study the structure of the graph. The eigengap of the Laplacian matrix is used to identify the number of clusters in the graph.