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Standard Deviation normalization of data in data mining

Last modified on December 9th, 2018 at 9:21 pm

Data Normalization with the Help Of Standard Deviation

Data is in attribute tuples and data can be normalized by using standard deviation.

Example:

Age
22
40

First Step:

Calculate the mean of the data:

Mean = (22+40) / 2 = 22

Second Step:

Now, we will subtract the mean from all the values and find the square of all data :

(22-22)^2 = 0
(40-22)^2 = 324

[quads id=1] Third Step:

Now, we will find the deviation as follows:

Deviation = sqrt ((0 + 324 / 2) = 162

Fourth Step:

Now we will normalize the attribute values:

(x – Mean) / Deviation

For 22 : (22 – 22) / 162 = 0

For 40 : (40 – 22) / 162 = 0.11

Age before normalizationAge after normalization
220
400.11
Prof. Fazal Rehman Shamil
Researcher, Publisher of International Journal Of Software Technology & Science ISSN: 2616-5325
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