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Models for Asymmetry in Proximity Data

  • Giuseppe BoveEmail author
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Geometrical models to explore and represent asymmetric proximity data are usually classified in two classes: distance models and scalar product models. In this paper we focalize on scalar product models, emphasizing some relationships and showing possibilities to incorporate external information that can help the analysis of proximities between rows and columns of data matrices. In particular it is pointed out how some of these models apply to the analysis of skew-symmetry with external information.

Keywords

Diagonal Entry Positive Semidefinite External Information Residual Term Distance Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Dipartimento di Scienze dell’EducazioneUniversità degli Studi Roma TreRomeItaly

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