plotsom

(To be removed) Plot self-organizing map

plotsom 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

plotsom(pos)
plotsom(W,D,ND)


Description

plotsom(pos) takes one argument,

POS	N-by-S matrix of S N-dimension neural positions

and plots the neuron positions with red dots, linking the neurons within a Euclidean distance of 1.

plotsom(W,D,ND) takes three arguments,

W	S-by-R weight matrix
D	S-by-S distance matrix
ND	Neighborhood distance (default = 1)

and plots the neuron’s weight vectors with connections between weight vectors whose neurons are within a distance of 1.

Examples

Plot Self-Organizing Maps

These examples generate plots of various layer topologies.

pos = hextop([5 6]); 
plotsom(pos)

pos = gridtop([4 5]); 
plotsom(pos)

pos = randtop([18 12]); 
plotsom(pos)

pos = gridtop([4 5 2]); 
plotsom(pos)

pos = hextop([4 4 3]); 
plotsom(pos)

Version History

Introduced before R2006a

R2026a: plotsom will be removed

plotsom 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.