plotsomplanes

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

plotsomplanes 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

plotsomplanes(net)


Description

plotsomplanes(net) generates a set of subplots. Each ith subplot shows the weights from the ith input to the layer’s neurons, with the most negative connections shown as black, zero connections as red, and the strongest positive connections as yellow.

The plot is only shown for layers organized in one or two dimensions.

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

This function can also be called with standardized plotting function arguments used by the function train.

Examples

Plot SOM Weight Planes

x = iris_dataset;
net = selforgmap([5 5]);
net = train(net,x);

plotsomplanes(net)

Version History

Introduced in R2008a

R2026a: plotsomplanes will be removed

plotsomplanes 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.