Re: finding the centre of a cluster
- From: "Phil Sherrod" <PhilSherrod@xxxxxxxxxxxxxxxxxxxxx>
- Date: Mon, 4 Jun 2007 20:21:11 GMT
On 4-Jun-2007, Reef Fish <large_nassua_grouper@xxxxxxxxx> wrote:
Well, here's one example: One approach for constructing an RBF neural
network
for classification problems (with a categorical target variable) involves
initially creating a Gaussian kernel for each target category.
If your variable is categorical, where did the Gaussian nonsense come
from?
The category of the target variable for each row identifies which cluster the
row is associated with; there is one cluster per target category. The
predictor (independent) variables are continuous, so the center of the cluster
is the mean value on each predictor dimension.
That is sufficient to prove the gobbledy gook you neural network
classifiers are injecting into a problem of which you know NOTHING.
There are many areas of statistics where my knowledge is limited, but I believe
I have more experience with neural networks and decision trees than you do.
--
Phil Sherrod
(PhilSherrod 'at' comcast.net)
http://www.dtreg.com (Decision trees, Neural networks and SVM modeling)
http://www.nlreg.com (Nonlinear Regression)
.
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