Term of Award
Master of Science in Mathematics (M.S.)
Document Type and Release Option
Thesis (open access)
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution 4.0 License.
Department of Mathematical Sciences
Committee Member 1
Committee Member 2
Clustering analysis is an important topic in data mining, where data points that are similar to each other are grouped together. Graph clustering deals with clustering analysis of data points that correspond to vertices on a graph. We first survey some most well known algorithms for clustering analysis. Then for graph clustering we note that one of the fundamental factors is the distance measure between vertices. We further examine various known venues for defining such measures and propose some others.
Gilmore, Raven D., "A Survey of Clustering Analysis and Clustering Analysis in Graphs" (2018). Electronic Theses and Dissertations. 1781.
Research Data and Supplementary Material