get.cluster: Extract data and prototype for a specified class.

In harrysouthworth/kohonen: Self-organizing Maps for Data Classification

Description

Extract data and prototype for a specified class. The function return an object of class 'som.cluster'.

Usage

get.cluster(object, class.number)

Arguments

object	a som object
class.number	integer representing the number id of the class.

Details

The function allow to browse a specific class.

Value

object of class {som.cluster} : a list with several components:

data	subset of the model.matrix of the model that belong to the class
weights	prototype of the class
class.number	integer representing the number id of the class
withinss	mean of within sum of squares in the class
ss	within sum of squares for each data row in the class

Author(s)

David Gohel

See Also

som plot.som.cluster summary.som.cluster biplot.som

Examples

library(MASS)
lcrabs <- log(crabs[, 4:8])

lcrabs.som <- som ( formula = ~ . , data = lcrabs
	, neighborhood = "uniform"
	, grid = grid ( xdim = 10 , ydim = 10 , type = "hexagonal" ) 
	, weights.min = min (lcrabs), weights.max = max (lcrabs)
	)
lcrabs.som <- learn( lcrabs.som , number.iter = 500 , max.alpha = 0.5, min.alpha = .001, max.rayon = 3 , step.eval.si = 50)

x <- get.cluster( lcrabs.som , 1)
x
plot( x )

harrysouthworth/kohonen documentation built on May 17, 2019, 3:03 p.m.