|  | ## Random Clustering

#### Synopsis

Flat random clustering

#### Description

Returns a random clustering. Note that this algorithm does not garantuee that all clusters are non-empty. This operator will create a cluster attribute if not present yet.

#### Input

- example set: expects: ExampleSetMetaData: #examples: = 0; #attributes: 0

#### Output

- cluster model:
- clustered set:

#### Parameters

- add cluster attribute: Indicates if a cluster id is generated as new special attribute.
- add as label: Should the cluster values be added as label.
- remove unlabeled: Delete the unlabeled examples.
- number of clusters: Specifies the desired number of clusters.
- use local random seed: Indicates if a local random seed should be used.
- local random seed: Specifies the local random seed

#### ExampleProcess