Standard Deviation normalization of data in data mining

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 normalization Age after normalization
22 0
40 0.11
Fazal Rehman Shamil
Welcome to all friends. The reason for our success is only your love for T4Tutorials. Our team is always available to answer your queries regarding any kind of confusions or discussion regarding your study and career matters. For discussion with us please join our facebook group "T4Tutorials.com". The link of the group is mentioned below. Thanks and love to all for connecting with us. We are nothing without you. Love you all.....
https://web.facebook.com/groups/2066136233601097/