Visualizing the Embedding of Objects in Euclidean Space

  title={Visualizing the Embedding of Objects in Euclidean Space},
  author={Deborah F. Swayne and Nathaniel Dean and Andreas BujaBellcoreMorristown},
Michael Littman, Deborah F. Swayne, Nathaniel Dean, and Andreas Buja Bellcore Morristown, NJ 07962-1910 ABSTRACT Matrices representing dissimilarities within a set of objects are familiar in mathematics, statistics and psychology. In this paper we describe XGvis, a software system which accepts diverse input data, such as graphs and multivariate data, develops a dissimilarity matrix from the data, and then iteratively and interactively embeds objects in a Euclidean space of arbitrary dimension… CONTINUE READING
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