plotsomhits

(To be removed) Plot self-organizing map sample hits

plotsomhits 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

plotsomhits(net,inputs)


Description

plotsomhits(net,inputs) plots a SOM layer, with each neuron showing the number of input vectors that it classifies. The relative number of vectors for each neuron is shown via the size of a colored patch.

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

Examples

Plot SOM Sample Hits

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

plotsomhits(net,x)

Version History

Introduced in R2008a

R2026a: plotsomhits will be removed

plotsomhits 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.