SOMbrero v1.0 is released

[This article was first published on tuxette-chix » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

New !!! SOMbrero is now on CRAN: http://cran.r-project.org/web/packages/SOMbrero

You can visit its Web User Interface: http://shiny.nathalievilla.org/sombrero (SOMbrero WUI, v1.0 related to SOMbrero v1.0). The web user interface can also be used directly from the package with the function sombreroGUI().

SOMbrero is an R package dedicated to online (also called “on-line”) Self-Organizing Maps. The version 0.4-1 of the package can be used to train SOMs for numeric datasets, contingency tables (algorithm “KORRESP” which is illustrated on the “presidentielles 2002” dataset: see user-friendly documentation) or for dissimilarity data (relational SOM, illustrated on a graph from the novel Les Misérables). It contains many graphical functions for helping the user to interpret the results, as well as quality functions and super-clustering.

Maintainer: Nathalie Villa-Vialaneix (SAMM, Université Paris 1)

Authors: Laura Bendhaïba, Madalina Olteanu, Nathalie Villa-Vialaneix

The authors are grateful to Nicolas for his help with the implementation of the “korresp” algorithm, to Patrick for the original implementation of the “korresp” algorithm on SAS and to Marie for useful discussions.

Important warning: This package has been implemented only by girls. Default colors may not be suited for men.

The package has been presented at 2èmes rencontres R (Lyon, France, on June 28th, 2013). The article (abstract, in French) can be downloaded here. You can also have a look at the slides (in French):

 

 

To leave a comment for the author, please follow the link and comment on their blog: tuxette-chix » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)