The Forward Search for Classical Multidimensional Scaling When the Starting Data Matrix Is Known

  • Nadia SolaroEmail author
  • Massimo Pagani
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


This work provides an extension of the Forward Search to classical multidimensional scaling according to a double perspective: first, as a diagnostic tool in order to detect outlying units and monitor their influences on the main analysis results. Second, as a comparative tool when two or more solutions need to be compared. A case study from a clinical setting is then considered.


Procrustes Analysis Forward Search Outlying Unit Initial Subset Relative Eigenvalue 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Department of StatisticsUniversity of Milano-BicoccaMilanItaly

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