summary.som.cluster: Summary Method for som.cluster object.

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

Description

Returns a summary list for a som.cluster object.

Usage

summary.som.cluster(object)

Arguments

object

a som object

Value

object of class {summary.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
outliers	identified outliers (boxplot method on the ss values)
stdevss	Standart deviation of the sum of squares)

Author(s)

David Gohel

See Also

~~objects to See Also as help, ~~~

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)

summary ( get.cluster( lcrabs.som , 6 ) )

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