numero.create: Create a self-organizing map

In Numero: Statistical Framework to Define Subgroups in Complex Datasets

Create a self-organizing map

Description

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

Usage

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

Arguments

data	A matrix or a data frame.
radius	Map radius.
smoothness	Rigidity of the map to adapt to regional differences.
subsample	Number of data points used during a single training cycle.

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.

Value

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

Examples

# 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)

Numero documentation built on Sept. 17, 2024, 5:09 p.m.