Normalizer
This node normalizes the values of all (numeric) columns. In the
dialog, you can choose the columns you want to work on.
The following normalization methods are available in the dialog:
Dialog Options
- Min-max normalization
-
Linear transformation of all values such that the minimum and maximum
in each column are as given.
- Z-score normalization (Gaussian)
-
Linear transformation such that the values in each column are
Gaussian-(0,1)-distributed, i.e. mean is 0.0 and standard deviation
is 1.0.
- Normalization by decimal scaling
-
The maximum value in a column (both positive and negative) is
divided j-times by 10 until its absolute value is smaller or
equal to 1.
All values in the column are then divided by 10 to the power of j.
Ports
Input Ports
0 |
Table requiring normalization of some or all columns. |
Output Ports
0 |
Table with normalized columns. |
1 |
Model containing normalization parameters,
which can be used in a "normalize apply" node to normalize test data the same way
as the training data has been normalized. |
This node is contained in KNIME Base Nodes
provided by KNIME GmbH, Konstanz, Germany.