Multidimensional scaling: Difference between revisions

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* The [[R (programming language)|R programming language]] offers several MDS implementations, e.g. base ''cmdscale'' function, packages [https://CRAN.R-project.org/package=smacof smacof]<ref>{{Cite journal|last=Leeuw|first=Jan de|last2=Mair|first2=Patrick|date=2009|title=Multidimensional Scaling Using Majorization: SMACOF in R|url=http://www.jstatsoft.org/v31/i03/|journal=Journal of Statistical Software|language=en|volume=31|issue=3|doi=10.18637/jss.v031.i03|issn=1548-7660|doi-access=free}}</ref> (mMDS and nMDS), and [https://CRAN.R-project.org/package=vegan vegan] (weighted MDS).

* [[scikit-learn]] contains function [http://scikit-learn.org/stable/modules/generated/sklearn.manifold.MDS.html sklearn.manifold.MDS].

* [https://www.nuget.org/packages/Novacta.Analytics Novacta.Analytics] is a [[Microsoft .NET|.NET]] library that provides implementations for classical MDS and non-metric MDS via classes [https://novacta.github.io/analytics/html/F58681BC.htm ClassicalMultidimensionalScaling] and [https://novacta.github.io/analytics/html/4FE4ECE4.htm NonMetricMultidimensionalScaling], respectively.

== See also ==

{{Commons category|Multidimensional scaling}}