Hi,
As per my understanding, you want to cluster a data using ‘Self organizing map’ of dimension 10x10 and cover steps of 200. You can use the following syntax to create the SOM with these properties as follows,
MyMap = selforgmap([10 10], 200, 3, 'hextop', 'linkdist')
This will create a self organizing map with the following properties,
- dimensions of the SOM: [10 10]
- coverSteps: 200
- initNeighbor: 3
- topologyFcn: ‘hextop’
- distanceFcn: ‘linkdist’
For more information on ‘selforgmap’, please refer to the following link, https://in.mathworks.com/help/deeplearning/ref/selforgmap.html
You can also use ‘Neural Net Clustering’ app to cluster the data using Self organizing maps. Please refer to the following example which explains the creation of self organizing maps and their visualizations,
You can plot using the functions such as plotsomhits, plotsomnc, plotsomnd, plotsomplanes, plotsompos, and plotsomtop. For more information on these functions, please refer to the documentation link below,
I hope this helps.
