2026-09-20T03:38:26Zhttps://wakespace.lib.wfu.edu/server/oai/requestoai:null:10339/392912026-09-18T12:41:36Zcom_10339_14934col_10339_38132
Gao, Mingyue
2014-07-10T08:35:35Z
2014
https://wakespace.lib.wfu.edu/handle/10339/39291
In this thesis, we consider a new random walks-based method for measuring clustering on finite graphs. The method is versatile and can provide valuable insight into the locations of centers of clusters and outliers. Some results and applications are discussed.
en
Wake Forest University
Networks
Outlier detection
Random walks
Spatial clustering
A Transport Redundancy Approach to Spatial Clustering
Thesis
Berenhaut, Kenneth
Erway, Jennifer
Erhardt, Robert
Mathematics
forever
10000-01-01
open.access