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This work describes different methods that are useful in the analysis of multivariate single and multiset data. The thesis covers selected aspects of relevant data analysis techniques in this context. Methods dedicated to handling data of a spatial nature are of primary interest with focus on data driven exploratory methods for i) clustering, and for both ii) linear and iii) nonlinear decompositioning. New extensions are presented in all three fields.
|Publication status||Published - Mar 2002|
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- 1 Finished
01/10/1998 → 27/03/2002