[R] Any mountain clustering method in R?

[Ramon Diaz-Uriarte]

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
>  --------------------------------------------
>
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>
>
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-- 
Ramon Diaz-Uriarte
Statistical Computing Team
Structural Biology and Biocomputing Programme
Spanish National Cancer Centre (CNIO)
http://ligarto.org/rdiaz