Re: [Databionic-ESOM-User] Problem when integrating ESOM with Matlab

[<fa...@my...>]

Yok Yen wrote:
> Hi Fabian,
>
> Thanks for your support.
> I still getting an error while trying to run the esom_demo.m
>
> ??? Undefined command/function 'isnumber'.
>
> Error in ==> loadlrnfast at 69
>         if ~isnumber(t)
>
> Error in ==> loadlrn at 56
>         [data,names,defined] = loadlrnfast(filename); 
>
> Error in ==> esom_train at 144
>     data = loadlrn([prefix, '.lrn']);   
>
> Error in ==> esom_demo at 61
> [wts, bm, umx] = esom_train(NOData, prefix, epochs, rows, columns,
> grid, radius, learn, algorithm);
>
> regards,
> yok yen
>
> On 8/16/07, *Fabian Mörchen * <fa...@my...
> <mailto:fa...@my...>> wrote:
>
>     Yok,
>
>     there seem to be some general functions missing. they are
>     attached. I hope to get to create an updated version with everything
>     some time.
>
>     fabian
>
>     Yok Yen wrote:
>     >
>     > Hi,
>     >
>     > I am trying to integrate ESOM with my matlab problem.
>     > However, it is not successful.
>     > Hope to seek your help in this.
>     > Thanks in advance.
>     >
>     > The errors that shows up when I try to run esom_demo.m are as
>     follows:
>     > 1)
>     > >> esom_demo
>     > ??? Undefined command/function 'tail'.
>     >
>     > Error in ==> addfileext at 29
>     > if ~strcmp(tail(filename,length(ext)),ext)
>     >
>     > Error in ==> savecls at 32
>     > filename = addfileext(filename,'.cls');
>     >
>     > Error in ==> esom_demo at 54
>     > savecls('demo.cls', key, cls);
>     >
>     > 2)
>     > ??? Undefined command/function 'head'.
>     >
>     > Error in ==> loadlrnfast at 60
>     >     tokens = strread(deblank(head(line,-1)),'%s\t');
>     >
>     > Error in ==> loadlrn at 56
>     >         [data,names,defined] = loadlrnfast(filename);
>     >
>     > Error in ==> esom_train at 144
>     >     data = loadlrn([prefix, '.lrn']);
>     >
>     > Error in ==> esom_demo at 61
>     > [wts, bm, umx] = esom_train(NOData, prefix, epochs, rows, columns,
>     > grid, radius, learn, algorithm);
>     >
>     > regards,
>     > yok yen
>     >
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