H-MDS: a new approach for interactive visualization with multidimensional scaling in the hyperbolic space
We introduce a novel projection-based visualization method for high-dimensional data sets by combining concepts from MDS and the geometry of the hyperbolic spaces. This approach hyperbolic multi-dimensional scaling (H-MDS) is a synthesis of two important concepts for explorative data analysis and vi...
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Veröffentlicht in: | Information systems (Oxford) 2004-06, Vol.29 (4), p.273-292 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | We introduce a novel projection-based visualization method for high-dimensional data sets by combining concepts from MDS and the geometry of the hyperbolic spaces. This approach
hyperbolic multi-dimensional scaling (H-MDS) is a synthesis of two important concepts for explorative data analysis and visualization: (i) multi-dimensional scaling uses proximity or pair distance data to generate a low-dimensional, spatial presentation of the data; (ii) previous work on the “hyperbolic tree browser” demonstrated the extraordinary advantages for an interactive display of graph-like data in the two-dimensional hyperbolic space
(
H
2)
.
In the new approach, H-MDS maps proximity data directly into the
H
2
. This removes the restriction to “quasi-hierarchical”, graph-based data—a major limitation of (ii). Since a suitable distance function can convert all kinds of data to proximity (or distance-based) data, this type of data can be considered the most general.
We review important properties of the hyperbolic space and, in particular, the circular Poincaré model of the
H
2
. It enables effective human–computer interaction: by mouse dragging the “focus”, the user can navigate in the data without loosing the context. In
H
2
the “fish-eye” behavior originates not simply by a non-linear view transformation but rather by extraordinary, non-Euclidean properties of the
H
2
. Especially, the exponential growth of length and area of the underlying space makes the
H
2
a prime target for mapping hierarchical and (now also) high-dimensional data.
Several high-dimensional mapping examples including synthetic and real-world data are presented. Since high-dimensional data produce “ring”-shaped displays, we present methods to enhance the display by modulating the dissimilarity contrast. This is demonstrated for an application for unstructured text: i.e., by using multiple film critiques from news:rec.art.movies.reviews and
www.imdb.com, each movie is placed within the
H
2
—creating a “space of movies” for interactive exploration. |
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ISSN: | 0306-4379 1873-6076 |
DOI: | 10.1016/j.is.2003.10.002 |