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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

  1. Read the overview: Multidimensional scalingA 5-minute orientation
  2. Skim a recent paper: Multidimensional Scaling of Varietal Data in Sedimentary Provenance AnalysisInfluential work since 2022
  3. Pick up a classic book: Graph-theoretic techniques for web content miningThe most-reprinted book on the subject
  4. Read the landmark paper: Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric HypothesisCited 5,613 times
  5. Go sideways: Nonlinear dimensionality reductionA closely related topic
  6. Go sideways: IsomapA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

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