FilteredClusterer

Package

weka.clusterers

Synopsis

Class for running an arbitrary clusterer on data that has been passed through an arbitrary filter. Like the clusterer, the structure of the filter is based exclusively on the training data and test instances will be processed by the filter without changing their structure.

Options

The table below describes the options available for FilteredClusterer.

Option	Description
clusterer	The base clusterer to be used.
filter	The filter to be used.

Capabilities

The table below describes the capabilites of FilteredClusterer.

Capability	Supported
Class	Binary class, Date class, Relational class, No class, Empty nominal class, Numeric class, Unary class, Nominal class, String class, Missing class values
Attributes	Date attributes, Missing values, Relational attributes, Empty nominal attributes, Binary attributes, Nominal attributes, Numeric attributes, String attributes, Unary attributes
Min # of instances	0