Classification of Big Data with Application to Imaging Genetics

16 May 2016Magnus O. UlfarssonFrosti PalssonJakob SigurdssonJohannes R. Sveinsson

Big data applications, such as medical imaging and genetics, typically generate datasets that consist of few observations n on many more variables p, a scenario that we denote as p>>n. Traditional data processing methods are often insufficient for extracting information out of big data... (read more)

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