Question

Distinguish between noise and outliers. Be sure to consider the following questions. (a) Is noise ever interesting or desirable? Outliers? (b) Can noise objects be outliers? (c) Are noise objects always outliers? (d) Are outliers always noise objects? (e) Can noise make a typical value into an unusual one, or vice versa?

Answer 1

Noise is known as a kind of mislabeled or errors seen in the values of attribute but outlier is known to be wider concept that is also made up of not only errors but discordant data that occurs due to natural variation inside a population.

What is outlier in data mining?

An Outlier is known to be a kind of data object that moves from the rest of the data objects and can work in different way.

Note that outliers can be interesting or say desirable, but noise is not.

Noise data can be seen as normal data and as such, noise objects are not always outliers.

Note also that outliers would not be classify as noise objects.  Note that the source of noise in data can be random and as such can be seen as unusual.

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