Models for Asymmetry in Proximity Data
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.
KeywordsDiagonal Entry Positive Semidefinite External Information Residual Term Distance Model
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