Multidimensional scaling

Known as: Principle coordinate analysis, Principal co-ordinate analysis, Classical multidimensional scaling 
Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a dataset. It refers to a set of related… (More)
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Highly Cited
2008
Highly Cited
2008
We discuss methodology for multidimensional scaling (MDS) and its implementation in two software systems, GGvis and XGvis. MDS is… (More)
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Highly Cited
2008
Highly Cited
2008
In this paper we present the methodology of multidimensional scaling problems (MDS) solved by means of the majorization algorithm… (More)
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Highly Cited
2007
Highly Cited
2007
We consider the non-metric multidimensional scaling problem: given a set of dissimilarities ∆, find an embedding whose inter… (More)
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Highly Cited
2006
Highly Cited
2006
In a visualization task, every nonlinear projection method needs to make a compromise between trustworthiness and continuity. In… (More)
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Highly Cited
2006
Highly Cited
2006
Multidimensional scaling (MDS) is a generic name for a family of algorithms that construct a conguration of points in a target… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper, we discuss a computationally efficient approximation to the classical multidimensional scaling (MDS) algorithm… (More)
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Highly Cited
2004
Highly Cited
2004
Sensor Positioning is a fundamental and crucial issue for sensor network operation and management. In the paper, we first study… (More)
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Highly Cited
2000
Highly Cited
2000
A. In this paper we discuss the convergence of an algorithm for metric and nonmetric multidimensional scaling that is very… (More)
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Highly Cited
1964
Highly Cited
1964
Multidimensional scaling is the problem of representing n objects: geometrically by n points, so that the interpoint distances… (More)
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Highly Cited
1964
Highly Cited
1964
We describe the numerical methods required in our approach to multi-dimensional scaling. The rationale of this approach has… (More)
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