maxabsnormalize

Normalizes dataset using Max Absolute Normalization. It scales and translates each feature individually such that the maximal absolute value of each feature in the training set will be 1.0 after normalization.

Attention: Available only with Activate commercial edition.

Syntax

[X_normalized, parameters] = maxabsnormalize(X)

Inputs

X: Input data to be normalized.; Type: double; Dimension: vector | matrix

Outputs

X_normalized: Normalized input records.; Type: double; Dimension: vector | matrix
parameters: Struct containing maximum absolute of each column.; max_abs: maximum absolute of each column.; Type: double | integer; Dimension: struct

Example

Usage of maxabsnormalize

X = [1, -1, 2;
     2, 0, 0;
     0, 1, -1];
[X_scaled, parameters] = maxabsnormalize(X);

> X_scaled
X_scaled = [Matrix] 3 x 3
0.50000 -1.00000 1.00000
1.00000 0.00000 0.00000
0.00000 1.00000 -0.50000
> parameters
parameters = struct [
max_abs: [Matrix] 1 x 3
2 1 2
]

Comments

Output 'parameters' can be used by maxabsnormalizetransform function.