Progress on the connection between spectral embedding and network models used by the probability, statistics and machine-learning communities

 
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RSS local group meetings

Wednesday 16 May 2018, 11:00am

 
Location Rolle 117, University of Plymouth, Plymouth, PL4 8AA

Speaker: Patrick Rubin-Delanchy (University of Bristol)

In this talk, I give theoretical and methodological results, based on work spanning Johns Hopkins, the Heilbronn Institute for Mathematical Research, Imperial and Bristol, regarding the connection between various graph spectral methods and commonly used network models which are popular in the probability, statistics and machine-learning communities. An attractive feature of the results is that they lead to very simple take-home messages for network data analysis: a) when using spectral embedding, consider eigenvectors from both ends of the spectrum; b) when implementing spectral clustering, use Gaussian mixture models, not k-means; c) when interpreting spectral embedding, think of “mixtures of behaviour” rather than “distance”. Results are illustrated with cyber-security applications.

Contact Yinghui Wei (Email: This email address is being protected from spambots. You need JavaScript enabled to view it.)

Tea, coffee and biscuits to be served after the meeting.

Organiser Name Yinghui Wei

Email Address This email address is being protected from spambots. You need JavaScript enabled to view it.

Organising Group(s) RSS South West Local Group

 

 

 

 

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