de.uni_leipzig.cvk.data.cluster
Class ClusterAlgorithmBorderFlow

java.lang.Object
  de.uni_leipzig.cvk.data.cluster.ClusterAlgorithm
      de.uni_leipzig.cvk.data.cluster.ClusterAlgorithmBorderFlow

All Implemented Interfaces:

ClusterTableSettings

public class ClusterAlgorithmBorderFlow
extends ClusterAlgorithm

Is a ClusterAlgorithm and an adapt for BorderFlow algorithm of BorderFlow class. Implements the clustering(String[], double, String, String, String, String) method and overrides default available settings in abstract class.

Field Summary

Fields inherited from class de.uni_leipzig.cvk.data.cluster.ClusterAlgorithm

config_A, config_B, config_C, config_D, filename

Fields inherited from interface de.uni_leipzig.cvk.data.cluster.ClusterTableSettings

CLUSTER_COLUMN_ID, CLUSTER_COLUMN_ID_TYPE, CLUSTER_COLUMN_NAME, CLUSTER_COLUMN_NAME_TYPE, CLUSTER_COLUMN_SIZE, CLUSTER_COLUMN_SIZE_TYPE

Constructor Summary

ClusterAlgorithmBorderFlow()
new available settings

Method Summary

protected prefuse.data.Table

clustering(java.lang.String[] seeds, double threshold, java.lang.String values_A, java.lang.String values_B, java.lang.String values_C, java.lang.String values_D) implemented abstract method

Methods inherited from class de.uni_leipzig.cvk.data.cluster.ClusterAlgorithm

cluster, getA, getB, getC, getD, getSeparator, getTable, setFilename

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ClusterAlgorithmBorderFlow

public ClusterAlgorithmBorderFlow()

new available settings

Method Detail

clustering

protected prefuse.data.Table clustering(java.lang.String[] seeds,
                                        double threshold,
                                        java.lang.String values_A,
                                        java.lang.String values_B,
                                        java.lang.String values_C,
                                        java.lang.String values_D)

implemented abstract method

Specified by:

clustering in class ClusterAlgorithm

Parameters:

seeds - selected nodes that will be used as seeds

threshold - threshold is between 0 and 1 or -1 for all nodes

values_A - value of config_A array

values_B - value of config_B array

values_C - value of config_C array

values_D - value of config_D array

Returns:

table with one or more columns