CODEWITHSUNDEEP
pythonscikit-learn
user400882
user400882

Reputation: 584

How Normalization performing in Python?

Normalization always brings values between 0 & 1 When I'm normalizing -ve/+ve values or total -ve values using preprocessing.normalization in python then the normalized values are coming -ve? Why so?

Upvotes: 1

Views: 435

Answers (1)

Alex Ferguson
Alex Ferguson

Reputation: 107

It all depends on the normalization function used. In general, normalization is bringing data between -1.0 to 1.0 or 0.0 to 1.0

Methods of Data Normalization –

-Decimal Scaling
-Min-Max Normalization
-z-Score Normalization(zero-mean Normalization)

Decimal Scaling Method For Normalization –

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Example –

Let the input data is: -10, 201, 301, -401, 501, 601, 701

To normalize the above data,
Step 1: Maximum absolute value in given data(m): 701
Step 2: Divide the given data by 1000 (i.e j=3)

Result: The normalized data is: -0.01, 0.201, 0.301, -0.401, 0.501, 0.601, 0.701

Min-Max Normalization –

enter image description here

Min(A), Max(A) are the minimum and maximum absolute value of A respectively. v’ is the new value of each entry in data. v is the old value of each entry in data.

Z-score normalization –

enter image description here

v’, v is the new and old of each entry in data respectively. σA, A is the standard deviation and mean of A respectively.

Upvotes: 2

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