Hello Iuri,
Code sent is a sample with basic functionality from the package I´m
due to send to CRAN. Final package allows inteactivity (dragging and
selecting points, zooming in/out fisheye effect, ...) and full
exploration of the hyperbolic-alike space simulated.
Example sent just give you a tas
David, Eduardo,
Thanks for the code. I have run it and I'm not sure what to do with the
graph when it comes up. Can I interact with it, such as an RGL graph? I've
tried clicking or dragging with the mouse and nothing happens. My system is
a Windows Vista and R2.9.
Best,
Iuri.
On Mon, Nov 2, 200
The attached file did not come through to the list. I think you have
some non-standard characters (or at least non-standard in my locale).
I was able to get the code to run after using the Zap Gremlins
function in TextWrangler. Prior to that "treatment" pretty much every
line threw an error
I send r-code in an attached file.
2009/11/2 Iuri Gavronski :
> Eduardo,
>
> Would you mind sending me the R code in an attached file. Your code didn't
> work here and I am not sure it is because of line breaks from the email
> program.
>
> Iuri.
>
> On Mon, Nov 2, 2009 at 10:53 AM, eduardo san mi
Hello all,
I have almost finished the development of a new package where ideas
from Tamara Munzner, George Furnas and Costa and Venturini are
implemented.
1.- Da Costa, David & Venturini, Gilles (2006). An Interactive
Visualization Environment for Data Exploration Using Points of
Interest. adma 2
Hi,
You can use Mulitidimensional Scaling techinque on the Cluster center
data with 2 dimensions. And then you can plot the the dimensional
coordinates to get the feel of clusters.
Javed
On Sun, Nov 1, 2009 at 3:48 AM, Albyn Jones wrote:
> oops, I see the answer in your question: 15...
>
>
oops, I see the answer in your question: 15...
Quoting Albyn Jones :
what is the dimension of your data?
you might try projecting the points into planes defined by 3 cluster centers.
plot, for each cluster, a density plot or histogram of distances to
the cluster center, and perhaps overlay
what is the dimension of your data?
you might try projecting the points into planes defined by 3 cluster centers.
plot, for each cluster, a density plot or histogram of distances to
the cluster center, and perhaps overlay the density curve for points
not in the cluster.
albyn
Quoting Iuri
Hi,
I'm doing a k-means cluster with 6 clusters and 15 variables. Any
suggestions on how to plot the results?
I've tried the standard xy plot, but couldn't get much of it.
Thansk in advance,
Iuri.
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