map.summary: Summary Object for Map

In popsom: An Efficient Implementation of Kohonen's Self-Organizing Maps (SOMs) with Starburst Visualizations

Description

Generate a summary object for 'map' objects.

Usage

map.summary(map,verb=TRUE)

Arguments

map	An object of type 'map'.
verb	A switch controlling the output.

Value

An object of type 'summary.map' which contains two structures:

training.parameters

A dataframe containing the parameters the map was trained with.

quality.assessments

A dataframe containing the quality assessments of the map. In particular, it contains the 'convergence' of the map which is a linear combination of variance capture and topographic fidelity of the map. A value close to 1 means a converged map (for more details see the reference below). Furthermore, it contains the 'separation' of the clusters. This is computed by the formula,

 1 - wcss/bcss

In general, a value close to 1 means well separated clusters.

If 'verb' is TRUE the summar.map object will be formatted and printed to the screen, otherwise it will be returned as a data structure.

Author(s)

Lutz Hamel

References

Self-Organizing Map Convergence, Robert Tatoian and Lutz Hamel. Proceedings of the 2016 International Conference on Data Mining (DMIN'16), pp92-98, July 25-28, 2016, Las Vegas, Nevada, USA, ISBN: 1-60132-431-6, CSREA Press.

Examples

data(iris)

## set data frame and labels
df <- subset(iris,select=-Species)
labels <- subset(iris,select=Species)

## build a map
m <- map.build(df,labels,xdim=15,ydim=10,train=10000)

## compute a summary object and display it
s <- map.summary(m,verb=FALSE)
s

popsom documentation built on Dec. 21, 2021, 1:07 a.m.