plotsompos

R2026b

(To be removed) Plot self-organizing map weight positions

plotsompos will be removed in a future release. For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.

For advice on updating your code, see Version History.

Syntax

plotsompos(net)
plotsompos(net,inputs)


Description

plotsompos(net) plots the input vectors as green dots and shows how the SOM classifies the input space by showing blue-gray dots for each neuron’s weight vector and connecting neighboring neurons with red lines.

plotsompos(net,inputs) plots the input data alongside the weights.

Examples

Plot SOM Weight Positions

x = iris_dataset;
net = selforgmap([10 10]);
net = train(net,x);

plotsompos(net,x)

Version History

Introduced in R2008a

R2026a: plotsompos will be removed

plotsompos will be removed in a future release.

To learn more about self-organizing map workflows, see these examples and topics:

• Cluster Data Using Self-Organizing Map (SOM)

• Custom Loss Functions

• Custom Training Loops

• Custom Training Loop Model Loss Functions

• Train Network Using Model Function

• List of Functions with dlarray Support

For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.