ShepardDiagram

Matrix containing the distances of the inputspace.

InputDist

Matrix containing the distances of the outputspace.

OutputDist

Label of the x axis in the resulting Plot.

xlabel

Label of the y axis in the resulting Plot.

ylabel

Set FALSE for PC and TRUE for publication

fancy

label

gPlot

This function plots a Shepard diagram of InputDist and OutputDist

A clustering approach for every projection method based on the generalized U*-matrix visualization of a topographic map is made available here [Thrun/Ultsch,2017] <DOI:10.13140/RG.2.2.13124.53124>. The number of clusters and the cluster structure can be estimated by counting the valleys in a topographic map. If the number of clusters and the clustering method are chosen correctly, then the clusters will be well separated by mountains in the visualization. Most projection methods are wrappers for already available methods in R. However, the neighbor retrieval visualizer (NeRV) is based on C++ source code of the 'dredviz' software package and the Curvilinear Component Analysis (CCA) is translated from 'MATLAB' ('SOM Toolbox' 2.0) to R.

ShepardDiagram: Draw a Shepard diagram

Description

Usage

Arguments

Value