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PhD Exit Seminar: Performance Analysis of Spectral Clustering
PDE and Applied Math Seminar| Speaker: | Shaofeng Deng |
| Location: | ZOOM |
| Start time: | Tue, Jul 5 2022, 2:00PM |
Spectral clustering is a family of graph partitioning methods. Recently, spectral clustering methods have attracted more and more attention given their promising performance in data clustering, simplicity in implementation and efficiency in solving large scale problems.
In this talk, I will discuss the performance of spectral clustering as a graph partitioning tool. I will show, through analyzing the spectral properties of the graph Laplacians, that spectral clustering achieves good results in terms of partitioning both deterministic graphs and random graphs.
https://ucdavis.zoom.us/j/4389115087