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Sparse multivariate methods

Chart showing mechanical aptitude score against verbal aptitude score for three groupings

Developing penalized and/or approximate but fast versions of the classic multivariate techniques to produce sparse solutions (involving only a few original variables) applicable for large data sets.

Nickolay Trendafilov leads the research on sparse multivariate methods in the school.