Standardize
Package
weka.filters.unsupervised.attribute
Synopsis
Standardizes all numeric attributes in the given dataset to have zero mean and unit variance (apart from the class attribute, if set).
Options
The table below describes the options available for Standardize.
Option |
Description |
|---|---|
ignoreClass |
The class index will be unset temporarily before the filter is applied. |
Capabilities
The table below describes the capabilites of Standardize.
Capability |
Supported |
|---|---|
Class |
No class, Numeric class, Relational class, Nominal class, Missing class values, Empty nominal class, Binary class, String class, Unary class, Date class |
Attributes |
Unary attributes, Binary attributes, Missing values, Empty nominal attributes, Nominal attributes, Date attributes, Numeric attributes, String attributes, Relational attributes |
Min # of instances |
0 |