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??????
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