Talk:Self-organizing map
From Wikipedia, the free encyclopedia
Looks interesting, but this is not a place for academics to promote concepts not widely discussed - somewhere other than their own pet web site. Please outline what an SOM actually is, with examples, so that this can be a proper article.
- Agreed, it still needs some explaination. But please, the entry was already there (I did not start a new item), and I think I added quite some good links (not my own 'pet-web' by the way). Are you anti-academic? Pieter Suurmond 00:25 Jan 25, 2003 (UTC)
-
- Yes, I am anti-academic. So what? The rules are the rules, and the idea must be explained here fully. So, for instance, you must explain exactly what you mean by wikipedia being "an example of" this paradigm. If you mean it is an example of self-organizing systems, then that belongs in that article, not in this article about something more specific.
-
-
- Kohonen Maps are far from being a 'concept not widely disscussed' : international conferences about data analysis and neural networks almost always have special sessions dedicated to it. It also has its own bi-annual international conference : WSOM held in Japan two years ago and in France this year. Nevertheless, the article needs a lot of work to present the SOM adequately. [df]
-
- "...and several thousand scientific articles have been written about it." - The fact that an anti-academic on wikipedia is unfamiliar with Kohonen Maps and calls them something "not widely discussed" probably doesn't justify this clause. It adds no more useful information than mentioning "several thousand journal articles have been written about the concept" would add to the Riemannian manifold page, for example. A mention of a few key articles or applications would be more informative. Geo.per 19:01, 26 June 2006 (UTC)
Easy guys, name calling won't get you nowhere Paskari 21:38, 1 December 2006 (UTC)
Contents |
[edit] JPEG upload problems?
Something went wrong with the 3 .jpg files I uploaded.... They don't seem to load...
[edit] Reference space and data space (codebook vectors)
Perhaps it should be stressed that the neighbourhood is defined by means of a reference space (the map) as opposed to the data space, which specifies the winning neuron by distance to its corresponding codebook vector.
[edit] desired outputs?
I deleted following sentence: "Unsupervised learning" is, technically, supervised in that we do have a desired output.
It doesn't make sense, what is the "desired output"?
Update: Now I think I understand that this probably refers to the fact that weights are moved towards the input vector. I still don't think this justifies calling SOM supervised, because there is no a priori desired output value for an input. AnAj 15:39, 18 June 2006 (UTC)
[edit] Subset Issue
The first line reads "The self-organizing map (SOM) is a subtype of artificial neural networks", that's like me saying "a toyota is a subtype of automobile". Can we clear this up please Paskari 21:38, 1 December 2006 (UTC)
[edit] Some Variables Issue
In the Some variables section of the An example of the algorithm section of the page, the variable lambda (λ) is listed as limit on time iteration, but is not included anywhere else on this page. I'm guessing that its either the result of other info being edited out, or something that was copied in without careful review.
[edit] Examples
I removed "gnod, a Kohonen network application." because I don't see any evidence saying that it is and on the gnod page, there are references to sites that say it's not. I added WEBSOM, because it is. --JamesBrownJr 22:47, 2 March 2007 (UTC)
