Hi,
To identify the samples from your original data set that are assigned to a particular neuron in your self-organizing map (SOM), you can use the 'vec2ind' function in MATLAB.
The 'vec2ind' function takes as input a matrix of neuron outputs, where each row corresponds to the output of a neuron for a particular input sample. The output of the function is a vector of indices that indicates which neuron had the highest output for each input sample.
To use 'vec2ind' to identify the samples associated with a particular neuron, you need to find the index of the neuron you are interested in on your SOM's hit map, and then find the corresponding row in the output matrix that represents that neuron's output for each input sample. The indices of the input samples that are associated with that neuron can then be obtained from the output of 'vec2ind'.
To know more about how to use vec2ind function refer to the following code:
I hope this helps.
Regards
Priyank
