Re: [R] Any mountain clustering method in R?

From: Ramon Diaz-Uriarte <rdiaz02_at_gmail.com>
Date: Thu, 14 Feb 2008 15:15:58 +0100

Dear Josep Maria,

Maybe this is way too naive, but what about a hill-climbing algorithm started from different places, and without (almost) any attempt to avoid local maxima? I think that if you formulate your question like a clustering problem, then you'll be using techniques that attempt to solve problems that are not really of any concern for you original question.

Regardless, I think you'll need to carefully think what constitute legitimate peaks for you. Suppose the 1D data 2, 3, 4, 3, 4, 5, 4, 3, 2

is the first "4" a peak or not?

Best,

R.

On Thu, Feb 14, 2008 at 12:08 PM, Josep Maria Campanera Alsina <campanera_at_ub.edu> wrote:
> Dear all,
> I wonder which R algorithm could perform a mountain clustering in an spatial
> grid, in other words, having the coordinates of a map (x,y ... or even more)
> and then the altitude/height at each point I would like to localise the
> peaks of that topological surface. Which R algorithm can perform this? I see
> it as a clustering problem where the peak should be at the center of each
> cluster.
>
> Thanks a lot,
>
> Josep Maria,
>
> ---------------------------------------------
> Josep Maria Campanera Alsina
> Investigador Juan de la Cierva
> Departament de Fisicoquímica
> Facultat de Farmàcia
> Avgda Joan XXIII, s/n
> 08028 Barcelona · Catalonia · Spain
> Tel: +34 93 4035988
> Fax: +34 93 4035987
> campanera_at_ub.edu
> --------------------------------------------
>
> [[alternative HTML version deleted]]
>
>
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-- 
Ramon Diaz-Uriarte
Statistical Computing Team
Structural Biology and Biocomputing Programme
Spanish National Cancer Centre (CNIO)
http://ligarto.org/rdiaz

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Received on Thu 14 Feb 2008 - 14:46:28 GMT

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