salim_alwasity at yahoo.com
Wed Nov 30 22:34:05 UTC 2016
DearsI am running a Hyperalignment analysis to investigate the effect of the reference subject on the common model and between subject classification. I ran two scenarios to double check my results, and in both cases I got different classification accuracies.If I am not wrong, the below scenarios must giving me identical results.I had 10 subjects whose Hyperalignment data are stored in (ds_h) and task data in (ds_task) which I am classifying
hyper=Hyperalignment(ref_ds=2)hypermaps=hyper(ds_h)ds_hyper = [ hypmaps[i].forward(d_all) for i, d_all in enumerate(ds_task)]..........Then continue with classification
Scenario-2-:new_ds_h=[ds_h, ds_h, ds_h, ds_h, ds_h, ds_h, ds_h, ds_h, ds_h, ds_h]hyper=Hyperalignment()hyper.train(new_ds_h)hypermaps=hyper(ds_h)ds_hyper = [ hypmaps[i].forward(d_all) for i, d_all in enumerate(ds_task)]..........Then continue with classification
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