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I have a Matlab program that needs enhancements, it's output to be used on the following: I need to solve a Matlab programming problem (using the SOM toolbox):
From a given dataset (NxP) apply a SOM, find clusters, provide every quality measure available. Then apply a unsupervised classification algorithm, like LVQ where the codebook is computed from the average BMU at the trainned network and then classify the data based on the available clusters: as many clusters imply as many classes, with a class distance metric indicating the class quality.
The important thing is to keep it the most unsupervised the possible and provide clusters, classes and the usual SOM statistics.
Make an GUI interface for it.
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