map.convergence: SOM Quality Assessment

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

Description

Evaluate the quality of a SOM using embedding accuracy and estimated topographical accuracy.

Usage

map.convergence(map,conf.int=.95,k=50,verb=TRUE,ks=TRUE)

Arguments

map	an object of type 'map'.
conf.int	is the confidence interval of the quality assessment.
k	number of samples to use in the computation of the estimated topographical accuracy.
verb	if true reports the two convergence components separately, otherwise it will report a linear combination of the two indices.
ks	if true uses the Kolmogorov-Smirnov convergence test otherwise a convergence test based on variance and means is performed.

Value

A single value or a pair of values: 1) embedding accuracy 2) estimated topographic accuracy. The structure of the return value depends on the 'verb' switch.

Author(s)

Lutz Hamel

References

"SOM Quality Measures: A Statistical Approach," Lutz Hamel, WSOM16, 2016.

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=1000)

## map quality
map.convergence(m)

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