Wonderful Christian, thank you for the (*very*) helpful reply!

Best,
Tal

----------------Contact
Details:-------------------------------------------------------
Contact me: Tal.Galili@gmail.com |  972-52-7275845
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On Wed, Apr 21, 2010 at 8:16 PM, Christian Hennig <chrish@stats.ucl.ac.uk>wrote:

> Dear Tal,
>
> I took the definition of the Hubert gamma- and Dunn-index from the Gordon
> book. They are actually not about comparing two clusters, at least not in
> that reference, and they require dissimilarities.
>
> The adjusted Rand index and Meila's VI, as implemented in cluster.stats,
> compare two clusterings. If you set compareonly=TRUE in cluster.stats, it
> only computes these two indexes, so it doesn't need the dissimilarity matrix
> in principle. I will probably in the next update
> change it so that in this case you don't need to provide a
> dissimilarity matrix.
>
> Until then, you can supply a noninformative matrix.
> Example:
> c1 <- sample(4,100,replace=TRUE)
> c2 <- sample(5,100,replace=TRUE)
> cs <- cluster.stats(d=matrix(0,ncol=100,nrow=100),c1,c2,compareonly=TRUE)
>
> cs$corrected.rand
> cs$vi
>
> Hope this helps,
> Christian
>
>
>
>
> On Wed, 21 Apr 2010, Tal Galili wrote:
>
>  Thanks for the fast reply Uwe.
>>
>> My hope in posting this was to find if anyone had already done work (in R)
>> in this direction.  So far I wasn't able to find any such relevant code,
>> so
>> I turned to the mailing list.
>>
>> Regarding new implementations - thanks for offering! - I have already came
>> around one such algorithm - I implemented it, and will probably publish it
>> on my blog <http://www.r-statistics.com/> in the near future.
>>
>>
>> If any one else has any reference to R implementation, it would be most
>> helpful,
>> Tal
>>
>>
>> ----------------Contact
>> Details:-------------------------------------------------------
>> Contact me: Tal.Galili@gmail.com |  972-52-7275845
>> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
>> www.r-statistics.com (English)
>>
>> ----------------------------------------------------------------------------------------------
>>
>>
>>
>>
>> 2010/4/21 Uwe Ligges <ligges@statistik.tu-dortmund.de>
>>
>>  On 21.04.2010 18:15, Tal Galili wrote:
>>>
>>>  Hello all,
>>>>
>>>> I would like to compare the similarity of two cluster solutions using a
>>>> validation criteria (such as Hubert's gamma coefficient, the Dunn index
>>>> the
>>>> corrected rand index and so on)
>>>>
>>>> I see (from here:http://www.statmethods.net/advstats/cluster.html) that
>>>> the function cluster.stats() in the fpc package provides a mechanism
>>>> for comparing 2 cluster solutions - *BUT* - it requires me to give the
>>>> the distance matrix among objects.
>>>>
>>>> *My question *is: What ways can you suggest for comparing two cluster
>>>> solutions, while using the cluster indicators only (i.e: a vector saying
>>>> to
>>>> which cluster each object belongs to), and WITHOUT asking to submit the
>>>> distance matrix between the objects.
>>>>
>>>>
>>> Don't know. If you have a theoretical solution and can provide the
>>> description of a method, there will be many people around happy to make
>>> an
>>> algorithm and implement it.
>>>
>>> Uwe Ligges
>>>
>>>
>>>
>>>  Thanks,
>>>
>>>> Tal
>>>>
>>>>
>>>>
>>>> ----------------Contact
>>>> Details:-------------------------------------------------------
>>>> Contact me: Tal.Galili@gmail.com |  972-52-7275845
>>>> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew)
>>>> |
>>>> www.r-statistics.com (English)
>>>>
>>>>
>>>> ----------------------------------------------------------------------------------------------
>>>>
>>>>       [[alternative HTML version deleted]]
>>>>
>>>> ______________________________________________
>>>> R-help@r-project.org mailing list
>>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>>> PLEASE do read the posting guide
>>>> http://www.R-project.org/posting-guide.html
>>>> and provide commented, minimal, self-contained, reproducible code.
>>>>
>>>>
>>>
>>        [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>>
> *** --- ***
> Christian Hennig
> University College London, Department of Statistical Science
> Gower St., London WC1E 6BT, phone +44 207 679 1698
> chrish@stats.ucl.ac.uk, www.homepages.ucl.ac.uk/~ucakche
>

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