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oracle.dmt.jdm.algorithm.ocluster
Interface OraOClusterSettings

All Superinterfaces:

javax.datamining.base.AlgorithmSettings, javax.datamining.clustering.ClusteringAlgorithmSettings

public interface OraOClusterSettings

extends javax.datamining.clustering.ClusteringAlgorithmSettings

OraOClusterSettings encapsulates the algorithm settings that can be specified for Orthogonal Partitioning Clustering (O-Clustering).

• Sensitivity parameter defines a baseline density level, only areas with peak density above this baseline level can be identified as clusters. By default sensitivity is 0.5.
• Buffer size parameter is used to control the maximum size of the memory buffer that can be used by the algorithm, this is represented as logical records. By default it is 50000 records. Based on the hardware availability this can be decreased or increased.

Method Summary

long	getBufferSize() Returns the buffer size used for the model building.
double	getSensitivity() Get the sensitivity value.
void	setBufferSize(long bufferSize) Sets the buffer size used for model building.
void	setSensitivity(double sensitivity) Set the sensitivity value to be using in building a clustering model.

Methods inherited from interface javax.datamining.base.AlgorithmSettings

getMiningAlgorithm, verify

Method Detail

getSensitivity

public double getSensitivity()

Get the sensitivity value.

Returns:

double

setSensitivity

public void setSensitivity(double sensitivity)

Set the sensitivity value to be using in building a clustering model.

Parameters:

sensitivity - sensitivity value

Returns:

void

getBufferSize

public long getBufferSize()

Returns the buffer size used for the model building.

setBufferSize

public void setBufferSize(long bufferSize)

Sets the buffer size used for model building.

Parameters:

bufferSize - buffer size

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