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Everything about Multidimensional scaling
Set of related ordination techniques used in information visualization
Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a data set. MDS is used to translate distances between each pair of objects in a set into a configuration of points mapped into an abstract Cartesian space. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Multidimensional scalingA 5-minute orientation
- Skim a recent paper: Multidimensional Scaling of Varietal Data in Sedimentary Provenance AnalysisInfluential work since 2022
- Pick up a classic book: Graph-theoretic techniques for web content miningThe most-reprinted book on the subject
- Read the landmark paper: Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric HypothesisCited 5,613 times
- Go sideways: Nonlinear dimensionality reductionA closely related topic
- Go sideways: IsomapA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis
Analysis of Individual Differences in Multidimensional Scaling Via an N-way Generalization of “Eckart-Young” Decomposition
Nonmetric Multidimensional Scaling: A Numerical Method
A TYPOLOGY OF DEVIANT WORKPLACE BEHAVIORS: A MULTIDIMENSIONAL SCALING STUDY.
Multidimensional Scaling: I. Theory and Method
The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function. I.
🆕 Influential since 2022
Multidimensional Scaling of Varietal Data in Sedimentary Provenance Analysis
Generating semantic maps through multidimensional scaling: linguistic applications and theory
Multidimensional scaling for big data
Robust Multi-Target Localization in ISAC Systems: Leveraging Multidimensional Scaling
Statistical Significance of Clustering with Multidimensional Scaling
📚 Books worth reading
Graph-theoretic techniques for web content miningAbraham Kandel, Bunke, Horst · 2005- 📕The use of multidimensional scaling and Euclidean regression in the analysis of outdoor recreation use patternsCharles Andrew Pella · 1986
Modern multidimensional scalingIngwer Borg, Patrick Groenen · 1996- 📕Ties in rank-order data and dual scalingLiqun Xu · 1993
Multidimensional scalingMark L. Davison · 1983
Multiple scalingSamuel Shye · 1985
Multidimensional scaling of binary data for homogeneous groupsRobert Redinger · 1976
Multidimensional scaling of binary data for homogeneous groupsRobert Redinger · 1977
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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