use of LVQ paradigm in neural net

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Charu
Charu on 8 Feb 2013
input= analog value (e.g 2) target= 8 bit digital value ( e.g 00000010) i want to use LVQ to train my dataset of 5000 samples. I am getting errors for SPARSE matrix and says unequal vector sizes when I use 'ind2vec' command
Can LVQ be used for the vectors containing binary values, '1' and '0'???

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Accepted Answer

Greg Heath
Greg Heath on 9 Feb 2013
I'm pretty sure it should work.
What distance measure are you using?
Box? Manhattan? Link?
Do all of the vectors the same number of digits?
Hope this helps.
Greg

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