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B1439
Title: Sparse dimension reduction of multiple data on same observations Authors:  Nickolay Trendafilov - Open University (United Kingdom) [presenting]
Purificacion Galindo - Universidad de Salamanca (Spain)
Abstract: It has become common to perform multiple analyzes on the same set of observations, e.g. patients. This requires analyzing simultaneously several data sets each involve different variables measured on same set of observations. Such type of data is a special case three-way data array also called tensor data. However the third mode does not really play ant role. We review the available methods for analysis of such data, and show that they are either to simplistic or too complicated for analysis of large data. We propose some ways for improvement and possibly new methods for analysing multiple data matrices measured on same objects.