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Looking at models in high-dimensional data spaces

Date: 
Thursday 10th January 2008 - 11:30 to 12:30
Venue: 
INI Seminar Room 1
Session Chair: 
Alastair Young
Abstract: 

What do the fishing net models of self-organizing maps look like in the data space? How do the estimated mean vectors and variance-covariance ellipses from model-based clustering fit to the clusters? How does small n, large p affect the variability in the esimates of the separating hyperplane from support vector machine models? These are a few of the things that we may discuss in this talk. The goal is to calibrate participants' eyes to viewing high-dimensional spaces and stimulate thought about what types of plots might accompany high-dimensional statistical analysis

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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons