somhca (version 0.1.3)

finalSOM: Train Final SOM Model

Description

Re-trains the SOM using a specified optimal grid size and number of iterations.

Usage

finalSOM(data, dimension, iterations)

Value

A trained SOM model object.

Arguments

data

The preprocessed data matrix containing the input data for SOM training.

dimension

An integer specifying the dimension of the square SOM grid (e.g., 5 results in a 5x5 grid).

iterations

An integer defining the number of iterations for training the SOM model. Use a large value, e.g., 500 or higher, for improved training (an error message could suggest that reducing the number of iterations might be necessary).

Examples

# Create a toy matrix with 9 columns and 100 rows
data <- matrix(rnorm(900), ncol = 9, nrow = 100)  # 900 random numbers, 100 rows, 9 columns

# Run the finalSOM function with the mock data
myFinalSOM <- finalSOM(data, dimension = 6, iterations = 700)