train: train entrena la red neuronal usando una topologia de arbol
In Litier/CKTSOM: Construction, training and visualization of Self-Organizing Trees

Description Usage Arguments Value Examples

train entrena la red neuronal usando una topologia de arbol

1 2	train(numberOfChildrenperNode, treeHeight, initialLearningRate, finalLearningRate, initialRadius, finalRadius, numberOfIterations, data)

`numberOfChildrenperNode`	A integer number
`treeHeight`	A integer number
`initialLearningRate`	A float number
`finalLearningRate`	A float number
`initialRadius`	A integer number
`finalRadius`	A integer number
`numberOfIterations`	A integer number
`data`	A data frame

La red neuronal entrenada con topologia de un arbol k ario completo

library(ggplot2)
##################### EXAMPLE 1 : IRIS DATASET
###parameters
numberOfIterations <- 600000
initialLearningRate <- 1
finalLearningRate<- 0
initialRadius <- 7
finalRadius <- 1
numberOfChildrenperNode <- 2
treeHeight <- 3

##training phase
data(iris)
data<-iris[-5] ## load a dataset
ti <- proc.time() # start watch
neurons <- train(numberOfChildrenperNode,treeHeight,initialLearningRate,finalLearningRate,initialRadius,finalRadius,numberOfIterations, data)
tf <-proc.time()    # stop watch
tf-ti #print execution time

##visualization phase
graficar(data,neurons,numberOfChildrenperNode) #plot the scatter plot