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 |