Distinguish between noise and outliers. Be sure to consider the following questions.
What will be an ideal response?
(a) Is noise ever interesting or desirable? Outliers?
No, by definition. Yes. (See Chapter 10.)
(b) Can noise objects be outliers?
Yes. Random distortion of the data is often responsible for outliers.
(c) Are noise objects always outliers?
No. Random distortion can result in an object or value much like a
normal one.
(d) Are outliers always noise objects?
No. Often outliers merely represent a class of objects that are different
from normal objects.
(e) Can noise make a typical value into an unusual one, or vice versa?
Yes.
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