Clustering for the neophyte: An R Shiny app for self-organizing maps

Authors

• Olcay Akman
• Zury Betzab-Marroquin
• Christopher Hay-Jahans
• Joshua Wlash
• Trenton Wesley

Document Type

Article

Abstract

This article provides an outline of clustering, key stages in creating self-organizing maps for purposes of clustering, instructions on how to use a free online R Shiny app that constructs self-organizing maps for data provided by users, and interpretations of the graphics produced.

Publication Date

4-13-2022

Recommended Citation

Akman, Olcay; Betzab-Marroquin, Zury; Hay-Jahans, Christopher; Wlash, Joshua; and Wesley, Trenton, "Clustering for the neophyte: An R Shiny app for self-organizing maps" (2022). Faculty, Staff, and Students. 199.
https://ualaska.researchcommons.org/uas_sas_facpubs/199

Handle

http://hdl.handle.net/11122/15434