# Janet Anderson

Graph Clustering and Applications

Abstract: A graph is a mathematical structure that is used to model relationships between objects (pairwise). It is represented by a vertex set and an edge set where an edge connects a pair of vertices. Graph clustering is the task of grouping vertices together based on graph theory properties that tries to minimize the edges between the groups while maximizing the edges within the group. In this talk we will give an overview of graph clustering, classification techniques, and their applications to real world problems.

Date: 5/3/2017

Time: 3:30PM-4:30PM

Place: 315 Armstrong Hall

All are welcome.