Uses of Class
it.unibz.algorithms.types.Instance

Packages that use Instance
it.unibz.algorithms   
it.unibz.algorithms.types   
it.unibz.gui   
 

Uses of Instance in it.unibz.algorithms
 

Fields in it.unibz.algorithms with type parameters of type Instance
private  java.util.Vector<Instance> KMeans.instances
           
private static java.util.List<Instance> DBScan.pointsList
           
 

Methods in it.unibz.algorithms that return types with arguments of type Instance
private  java.util.List<Instance> DBScan.getneighbors(Instance p)
          Method returns the list of Epsilonneighbors
 

Methods in it.unibz.algorithms with parameters of type Instance
private static double DBScan.getDistance(Instance p, Instance q)
          Method calculates the squaredistance beetween 2 Instances
private  java.util.List<Instance> DBScan.getneighbors(Instance p)
          Method returns the list of Epsilonneighbors
 

Constructor parameters in it.unibz.algorithms with type arguments of type Instance
DBScan(java.util.List<Instance> Instances, int e, int minp)
          Base constructor with the epsilon and min-points values
KMeans(int k, int iter, java.util.Vector<Instance> instances, boolean clearnoise)
          Base constructor initializes the needed Clusters
 

Uses of Instance in it.unibz.algorithms.types
 

Fields in it.unibz.algorithms.types with type parameters of type Instance
private  java.util.Vector<Instance> Cluster.Instances
           
 

Methods in it.unibz.algorithms.types that return Instance
 Instance Cluster.getInstance(int pos)
          This method returns an indexed data point
 

Methods in it.unibz.algorithms.types that return types with arguments of type Instance
 java.util.Vector<Instance> Cluster.getInstances()
          This method returns a vector of Instances
 

Methods in it.unibz.algorithms.types with parameters of type Instance
 void Cluster.addInstance(Instance dp)
          The method adds a specific Instance to the Cluster
 boolean Cluster.contains(Instance p)
          Checks if the Cluster contains a specific Instance
 void Cluster.removeInstance(Instance dp)
          This method removes the Instance
 

Method parameters in it.unibz.algorithms.types with type arguments of type Instance
 void Cluster.addAll(java.util.List<Instance> list)
          Adds all instances to the Cluster
 

Uses of Instance in it.unibz.gui
 

Method parameters in it.unibz.gui with type arguments of type Instance
 void TaskManager.startupDBScan(java.util.List<Instance> Instances, int e, int minp)
          Method responsible for starting the DBSCAN algorithm inside a task (a new thread)
 void ProgressGui.startupDBScan(java.util.List<Instance> Instances, int e, int minp)
          Method responsible for starting the DBSCAN algorithm inside a task (a new thread)
 void TaskManager.startupKMeans(java.util.Vector<Instance> Instances, int parseInt, int parseInt2, boolean clearnoise)
          Method responsible for invoking the KMeans algorithm inside a task (a thread)
 void ProgressGui.startupKMeans(java.util.Vector<Instance> Instances, int parseInt, int parseInt2, boolean clearnoise)
          Method responsible for invoking the KMeans algorithm inside a task (a thread)