Multivariate permutation tests for the k-sample problem with clustered data
The present paper deals with the choice of clustering algorithms before treating a k-sample problem. We investigate multivariate data sets that are quantized by algorithms that define partitions by maximal support planes (MSP) of a convex function. These algorithms belong to a wide class containing...
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| Format: | Others |
| Language: | en |
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SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business
1999
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| Online Access: | http://epub.wu.ac.at/1364/1/document.pdf |