Numero (version 1.2.0)

numero.create: Create a self-organizing map

Description

Set up a self-organizing map and train it with data

Usage

numero.create(data, radius = NULL, subsample = NULL)

Arguments

data

A matrix or a data frame.

radius

Map radius.

subsample

Number of data points used during a single training cycle.

Value

A list with named elements: data contains the training data, kmeans is the output from nroKmeans() during the initialiation of the SOM, som is the finished self-organising map from nroTrain() and layout contains the output from nroMatch() for the training data points.

Details

The parameter 'subsample' sets the number of data points that are randomly picked for each training cycle; if the number is substantially less than the size of the dataset, the function will finish quicker.

Examples

# NOT RUN {
# Import data.
fname <- system.file("extdata", "finndiane.txt", package = "Numero")
dataset <- read.delim(file = fname)

# Set identities and manage missing data.
dataset <- numero.clean(dataset, identity = "INDEX")

# Prepare training set.
trvars <- c("CHOL", "HDL2C", "TG", "CREAT", "uALB")
trdata <- numero.prepare(data = dataset, variables = trvars)

# Create a self-organizing map.
modl <- numero.create(data = trdata)
# }