[squeak-dev] Ask objects to group themselves by similar meanings of words....

gettimothy gettimothy at zoho.com
Thu Apr 9 14:22:40 UTC 2020


If you folks want the source and objects, I can get them to you via FTP.

I just copy-n-paste the html tables from the pages here:  https://en.wikipedia.org/wiki/List_of_Greek_and_Latin_roots_in_English

I pasted them into a class, then used a simple PEG grammar and PEG actor to extract the table rows into objects.

The objects are stored in  Class Variable ordered collections, and from my experience, these are not transferrable via Monticello.

So any .mcz will have to re-run the (very fast) import process again.

Let me know, I will be happy to help.

t



---- On Thu, 09 Apr 2020 00:32:40 -0400 Herbert König <mailto:herbertkoenig at gmx.net> wrote ----


Hi Stef,

great resource but I was too impatient to go through it. In the Nehmzow
book the SOMK is 1.5 pages including an image and ready to implement.
For training it uses distances instead of squared distances in the
article you mention (I just skimmed it for 5 minutes :-)) so that may
lead to faster convergence. Definitely worth a try and easy to
implement. Th usual thing with neural nets (and AI algorithms in
general) is you have to implement and try what works best for your problem.
Unless that changed since the last time I looked :-)

Very curious to see (and help) how it performs on the original problem
of this thread!

Cheers,

Herbert

Am 09.04.2020 um 01:36 schrieb Stéphane Rollandin:
>> https://dai.fmph.uniba.sk/courses/NN/haykin.neural-networks.3ed.2009.pdf
>
> This one seems very deep, and not the easiest ressource to start
> with... Maybe also have a look at this page:
>
> https://www.superdatascience.com/blogs/the-ultimate-guide-to-self-organizing-maps-soms
>
>
> Stef
>
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