Name

adams.flow.transformer.WekaClustering


Synopsis

Uses a serialized model to cluster data being passed through.
The following order is used to obtain the model (when using AUTO):
1. model file present?
2. source actor present?
3. storage item present?


Additional information

Flow input/output:
- input: weka.core.Instance, adams.data.instance.WekaInstanceContainer
- output: adams.flow.container.WekaClusteringContainer

Container information:
- adams.flow.container.WekaClusteringContainer:
   - Instance: data row; weka.core.Instance
   - Cluster: cluster index (0-based); java.lang.Integer
   - Distribution: cluster distribution; array of double
   - LogDensity: log density; java.lang.Double
   - LogDensityPerCluster: log density per cluster; array of double
   - LogJointDensities: log joint densities; array of double


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