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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… 
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Related topics

Related topics

39 relations
AlgorithmBiplotCluster analysisDimensionality reduction

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
Multidimensional Scaling Using Majorization: SMACOF in R
In this paper we present the methodology of multidimensional scaling problems (MDS) solved by means of the majorization algorithm… 
Highly Cited
2008
Highly Cited
2008
Data Visualization With Multidimensional Scaling
We discuss methodology for multidimensional scaling (MDS) and its implementation in two software systems, GGvis and XGvis. MDS is… 
Highly Cited
2007
Highly Cited
2007
Generalized Non-metric Multidimensional Scaling
We consider the non-metric multidimensional scaling problem: given a set of dissimilarities ∆, find an embedding whose inter… 
Highly Cited
2004
Highly Cited
2004
Sensor positioning in wireless ad-hoc sensor networks using multidimensional scaling
  • Xiang Ji
  • IEEE INFOCOM
  • 2004
  • Corpus ID: 18942796
Sensor Positioning is a fundamental and crucial issue for sensor network operation and management. In the paper, we first study… 
Highly Cited
2004
Highly Cited
2004
Sparse multidimensional scaling using land-mark points
Foamable plastics material is introduced into and foamed freely in a freely flowable, particulate lightweight solid receiving… 
Highly Cited
2004
Highly Cited
2004
On a Connection between Kernel PCA and Metric Multidimensional Scaling
In this note we show that the kernel PCA algorithm of Schölkopf, Smola, and Müller (Neural Computation, 10, 1299–1319.) can be… 
Highly Cited
2004
Highly Cited
2004
Steerable, Progressive Multidimensional Scaling
Current implementations of multidimensional scaling (MDS), an approach that attempts to best represent data point similarity in a… 
Highly Cited
1985
Highly Cited
1985
Multidimensional scaling of emotional facial expressions: Similarity from preschoolers to adults.
Structural models of emotion represent the fact that we perceive emotions as systematically interrelated. These interrelations… 
Review
1981
Review
1981
Introduction to Multidimensional Scaling: Theory, Methods, and Applications
List of Contributors. Foreword, by Joseph B. Kruskal. Basic Concepts and Data Bank: Introduction: Why multidimensional Scaling… 
Highly Cited
1977
Highly Cited
1977
Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features
A new procedure is discussed which fits either the weighted or simple Euclidian model to data that may (a) be defined at either… 
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