Self-Organized-Maps Generator in R with Shiny
-
Updated
Sep 27, 2017 - R
Self-Organized-Maps Generator in R with Shiny
Genetic-algorithm-tuned SOM, for automatic segmentation of any compatible (ie numeric) dataset
Self-Organizing Maps(SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning. Using R.
A collection of functions to support application of self-organizing maps in R
This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.
Comprehensive dimensionality reduction and cluster analysis toolset
Add a description, image, and links to the self-organizing-map topic page so that developers can more easily learn about it.
To associate your repository with the self-organizing-map topic, visit your repo's landing page and select "manage topics."