I am trying to train a SOM (Self Organizing Map) neural network using the incremental training algorithm (as opposed to the batch training algorithm). From Matlab help, I understand that I have to use two things:
1. the adapt function instead of the train function
2. the input variable should be a cell array instead of a regular matrix.
I have my input as a regular 21 X 219 matrix, representing 219 samples with each sample containing 21 attributes (dimensions).
So to convert this input to the form of a cell array, I used the mat2cell function. The result is having a new input cell array variable of (1X219 cell), with each cell contains a column vector of 21 elements.
I used this new input to create the SOM using the newsom function:
net = newsom(cellArray,[5,5]);
I set the number of passes (increments) to be 200 by:
net.adaptParam.passes = 200;
Now I used it to train the network incrementally with the adapt function :
[updatedNet,output,error] = adapt(net,cellArray);
The strange thing is that when I plotted the hits diagram, I only saw 1 hit in all the map ! Although when I used to do the batch training, I used to see a number of hits that is equal to the number of samples I have in my input variable !!
Is there something I am missing in my incremental training experiment?!
Thanks in advance
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