plotsompos :: Functions (Neural Network Toolbox™)

Contents

Index

• Getting Started

• Analysis Functions

• Distance Functions

• Graphical Interface Functions

• Layer Initialization Functions

• Learning Functions

• Line Search Functions

• Net Input Functions

• Network Initialization Function

• Network Use Functions

• New Networks Functions

• Performance Functions

• Plotting Functions

• Processing Functions

• Simulink�© Support Function

• Topology Functions

• Training Functions

• Transfer Functions

• Utility Functions

• Vector Functions

• Weight and Bias Initialization Functions

• Weight Functions

• Release Notes

plotsompos

Purpose

Plot self-organizing map weight positions

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.

Examples

load simplecluster_dataset
net = newsom(simpleclusterInputs,[10 10]);
net = train(net,simpleclusterInputs);
plotsompos(net,simpleclusterInputs);

See Also

plotsomnd, plotsomplanes, plotsomhits

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