Consider a set of points, where most points are in regions of low density, but a few points are in regions of high density. If we define an anomaly as a point in a region of low density, then most points will be classified as anomalies. Is this an appropriate use of the density-based definition of an anomaly or should the definition be modified in some way?
What will be an ideal response?
If the density has an absolute meaning, such as assigned by the domain, then
it may be perfectly reasonable to consider most of the points as anomalous.
(See the answer to the previous exercise.) However, in many circumstances,
the appropriate approach would be to use an anomaly detection technique
that takes the relative density into account.
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