Term of Award
Summer 2018
Degree Name
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
Department of Mathematical Sciences
Committee Chair
Hua Wang
Committee Member 1
Ionut Iacob
Committee Member 2
Goran Lesaja
Abstract
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.
Recommended Citation
Gilmore, Raven D., "A Survey of Clustering Analysis and Clustering Analysis in Graphs" (2018). Electronic Theses and Dissertations. 1781.
https://digitalcommons.georgiasouthern.edu/etd/1781
Research Data and Supplementary Material
No
