On 10 Aug 2005 12:46:08 -0700, gene tani <[EMAIL PROTECTED]> wrote:
> this sounds like LSI / singular value decomposition (?)
Why do you think so? I don't see it, but you might see something I
don't. LSI can be used to cluster things, but I see no reason to
believe that he's using LSI for his clus
Bengt Richter wrote:
> On Wed, 10 Aug 2005 16:51:55 +0200, Paolino <[EMAIL PROTECTED]> wrote:
>
>
>>I have a self organizing net which aim is clustering words.
>>Let's think the clustering is about their 2-grams set.
>>Words then are instances of this class.
>>
>>class clusterable(str):
>> def
On Wed, 10 Aug 2005 16:51:55 +0200, Paolino <[EMAIL PROTECTED]> wrote:
>I have a self organizing net which aim is clustering words.
>Let's think the clustering is about their 2-grams set.
>Words then are instances of this class.
>
>class clusterable(str):
> def __abs__(self):# the set of q-gram
On Wed, 10 Aug 2005, Paolino wrote:
> I have a self organizing net which aim is clustering words. Let's think
> the clustering is about their 2-grams set. Words then are instances of
> this class.
>
> class clusterable(str):
> def __abs__(self):# the set of q-grams (to be calculated only once)
this sounds like LSI / singular value decomposition (?)
http://javelina.cet.middlebury.edu/lsa/out/lsa_explanation.htm
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I have a self organizing net which aim is clustering words.
Let's think the clustering is about their 2-grams set.
Words then are instances of this class.
class clusterable(str):
def __abs__(self):# the set of q-grams (to be calculated only once)
return set([(self+self[0])[n:n+2] for n in
