[R] Salient feature selection
weller at erdw.ethz.ch
Mon Jul 2 17:17:12 CEST 2007
I am relatively new to R. I am hoping that someone will be able to point
me in the right direction and/or suggest a technique/package/reference
that will help me with the following. I have:
a) Some explanatory variables (integers, real) - these are "real world"
physical descriptions, i.e. counts of features, etc
b) Some response variables (integers, real) - these are image analysis
measurements (gray-value distributions, textural descriptors, etc) of
the same things represented in a
and I want to find out which between the two correlate best - i.e. the
salient features from BOTH sets (i.e. not for classification purposes).
For example, if a has 10 explanatory variables and b has 10 response
variables, I want to test the complete set of explanatory variables with
each individual response (or vice versa). So, explanatory 1-10 with
response 1, explanatory 1-10 with response 2, explanatory 1-10 with
response 3, etc...
This should ultimately tell me which "real world" physical features are
related best with the image analysis measurements (with the confidence
level between them).
I hope this makes sense?
I have used SPSS AnswerTree's "Exhaustive CHAID" before to select a
subset of input features for a complete set of output features to aid
the creation of artificial neural networks. I want to do a similar
thing, but it is not important for ALL explanatory and response
variables are used/selected.
I hope that I have been clear in my intentions and I look forward to
your replies, Andy
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