plotsomnc

R2026b

(To be removed) Plot self-organizing map neighbor connections

plotsomnc 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

plotsomnc(net)


Description

plotsomnc(net) plots a SOM layer showing neurons as gray-blue patches and their direct neighbor relations with red lines.

This plot supports SOM networks with hextop and gridtop topologies, but not tritop or randtop.

Examples

Plot SOM Neighbor Connections

x = iris_dataset;
net = selforgmap([8 8]);
net = train(net,x);

plotsomnc(net)

Version History

Introduced in R2008a

R2026a: plotsomnc will be removed

plotsomnc 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.