Hi Steve,
thanks a lot, I will haev a look at the kernel appraoch ,that looks
promising. I will first have to study the theory behind before I use it,
I guess.
Cheers
M.
On 10/21/2010 5:42 PM, Steve Lianoglou wrote:
Hi,
On Thu, Oct 21, 2010 at 9:42 AM, Martin Tomkomartin.to...@geo.uzh.ch
Dear all,
I am exploring the possibilities for automated classification of my
data. I have successfully used KNN, but was thinking about looking at
SVM (which I did nto use before).
I have a pairwise distance matrix of training observations which are
classified in set classes, and a distance
Hi,
On Thu, Oct 21, 2010 at 9:42 AM, Martin Tomko martin.to...@geo.uzh.ch wrote:
Dear all,
I am exploring the possibilities for automated classification of my
data. I have successfully used KNN, but was thinking about looking at
SVM (which I did nto use before).
I have a pairwise distance
Hi Steve,
tahnks for the hints and clarifications.
Unfortunately, I will not be able to use the approach you suggest, The
distances I generate are distances between VERY large matrices (say
10x10 and more) each of different dimensions (not necessarily
square either), and there is no
Hi,
On Thu, Oct 21, 2010 at 12:12 PM, Martin Tomko martin.to...@geo.uzh.ch wrote:
Hi Steve,
tahnks for the hints and clarifications.
Unfortunately, I will not be able to use the approach you suggest, The
distances I generate are distances between VERY large matrices (say
10x10 and
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