PlotProjectedPoints

[1:n,1:2] xy cartesian coordinates of a projection

Points

numeric vector, given Classification in numbers: every element is the cluster number of a certain corresponding element of data.

Default ==F, If TRUE assuming BestMatches of ESOM instead of Projected Points

BMUorProjected

PlotLegend

xlab

ylab

main

PointSize

plots XY data colored by Cls with ggplot2

A clustering approach for every projection method based on the generalized  U*-matrix visualization of a topographic map is made available here. 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.

PlotProjectedPoints: Plot Projected Points

Description

Usage

Arguments

Value