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Package

weka.filters.unsupervised.attribute

Synopsis

Normalizes all numeric values in the given dataset (apart from the class attribute, if set). The resulting values are by default in 0,1 for the data used to compute the normalization intervals. But with the scale and translation parameters one can change that, e.g., with scale = 2.0 and translation = -1.0 you get values in the range [-1,+1].

Options

The table below describes the options available for Normalize.

Option

Description

ignoreClass

The class index will be unset temporarily before the filter is applied.

scale

The factor for scaling the output range (default: 1).

translation

The translation of the output range (default: 0).

Capabilities

The table below describes the capabilites of Normalize.

Capability

Supported

Class

No class, String class, Nominal class, Numeric class, Date class, Binary class, Empty nominal class, Missing class values, Relational class, Unary class

Attributes

Date attributes, Empty nominal attributes, Binary attributes, Relational attributes, Unary attributes, Nominal attributes, String attributes, Missing values, Numeric attributes

Min # of instances

0

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