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Package

weka.filters.unsupervised.attribute

Synopsis

A filter that uses a density-based clusterer to generate cluster membership values; filtered instances are composed of these values plus the class attribute (if set in the input data). If a (nominal) class attribute is set, the clusterer is run separately for each class. The class attribute (if set) and any user-specified attributes are ignored during the clustering operation

Options

The table below describes the options available for ClusterMembership.

Option

Description

densityBasedClusterer

The clusterer that will generate membership values for the instances.

ignoredAttributeIndices

The range of attributes to be ignored by the clusterer. eg: first-3,5,9-last

Capabilities

The table below describes the capabilites of ClusterMembership.

Capability

Supported

Class

No class

Attributes

Empty nominal attributes, Nominal attributes, Missing values, Unary attributes, Binary attributes, Numeric attributes

Min # of instances

0

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