----- Original Message -----
From: <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Monday, June 19, 2000 4:50 PM
Subject: Adjusting Variable Distributions
> I am reading a book called Data Preparation for Data Mining by Dorian
> Pyle. I am having problem understanding Section 7.2.3 called
> Adjusting Distributions:
>
> "The easiest way to adjust a distribution density is simply to displace
> the high density points into the low density areas until all points
> are at the mean density for the variable. Such a process ends up
> in a rectangular distribution. This simple approach can only be
> completely
> successful if none of the instance values is duplicted.........In effect
> every point is
> displaced in a particular direction and distance. Any point in
> the variable's range could be used as a reference. The zero point
> is a convenient as any other. Using this as a reference every other
> point can be specified as moving away from or toward the reference
> point."
>
>
>
> Can anyone elaborate of Dorian's explanantion??????
I imagine this to refer to replacing data values by quantiles [or
equivalently ranks]. Whether it is the right thing to do or not I do not
know... the clarity (or lack of same) of the author's explanation does not
fill me with optimism.
-Robert Dawson
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