IRISLIB database
PAMSA Class Reference

This class provides an implemantation of Partitioning Around Medoids (PAM) algorithm adding Simulated Annealing (See Wikipedia article for more information) to avoid falling into a local minimum. More...

Inheritance diagram for PAMSA:
Collaboration diagram for PAMSA:

Public Attributes

 Extensive
   More...
 
- Public Attributes inherited from PAM
 K
 The number of clusters to create. More...
 
- Public Attributes inherited from AbstractModel
 DSName
   More...
 
 Dim
   More...
 
 Normalize
 Whether to normalize distance across multiple dimensions. More...
 
 P
 The power to use in calculation of dissimilarity. More...
 
 Verbose
   More...
 

Additional Inherited Members

- Public Member Functions inherited from PAM
_.Library.Double ClusterCost (_.Library.Integer k)
 This class provides an implemantation of Partitioning Around Medoids (PAM) algorithm, a.k.a. More...
 
_.Library.Boolean IsPrepared ()
 Checks whether the model is ready for an analysis to be executed. More...
 
- Public Member Functions inherited from AbstractModel
_.Library.Integer ById (_.Library.RawString id)
 Returns the ordinal number of the point with the given ID id. More...
 
_.Library.Double Distance (_.Library.Integer i, _.Library.Integer j, _.Library.Double p, _.Library.Boolean normalize)
 Returns the dissimilarity measure between two data points of the model. More...
 
_.Library.Double Distance1 (_.Library.Integer i, z, _.Library.Double p, _.Library.Boolean normalize)
 Returns the dissimilarity measure between a data points of the model and a point with given coordinates. More...
 
_.Library.Double Distance12 (z1, z2, _.Library.Double p, _.Library.Boolean normalize)
 Returns the dissimilarity measure between two points with given coordinates. More...
 
_.DeepSee.extensions.clusters.ASW GetASWIndex ()
 Returns an object that can calculate an index used in Cluster Validation. More...
 
_.DeepSee.extensions.clusters.CalinskiHarabasz GetCalinskiHarabaszIndex (_.Library.Integer normalize)
 Returns an object that can calculate an index used in Cluster Validation. More...
 
 GetCentroid (_.Library.Integer k, z)
 Returns the coordinates for the centroid for a given cluster. More...
 
_.Library.Integer GetCluster (_.Library.Integer point)
 Returns the cluster ordinal for a given point. More...
 
 GetClusterSize (_.Library.Integer k)
 Returns the number of data points assigned to a given cluster. More...
 
_.Library.Integer GetCost (_.Library.Integer i, _.Library.Integer j)
 Returns the dissimilarity measure as used by this clustering algorithm. More...
 
_.Library.Integer GetCount ()
 Returns the number of all data points in the model.
 
_.Library.Integer GetDimensions ()
 Returns the dimensionality of the model.
 
_.Library.String GetId (_.Library.Integer i)
 Returns the unque Id of the point with the ordinal number specified by i. More...
 
_.Library.Integer GetNumberOfClusters ()
 Returns the number of clusters in the model.
 
_.DeepSee.extensions.clusters.PearsonGamma GetPearsonGammaIndex ()
 Returns an object that can calculate an index used in Cluster Validation. More...
 
 GlobalCentroid (z)
 Returns the coordinates for the centroid for the whole dataset. More...
 
_.Library.Double RelativeClusterCost (_.Library.Integer k, _.Library.Integer m)
 Returns the realtive cost of a given cluster relative to a medoid point m. More...
 
 Reset ()
 Kills all the data associated with this model.
 
_.Library.Status SetData (_.Library.IResultSet rs, _.Library.Integer dim, _.Library.Double nullReplacement)
 Sets the data to be associated with this model. More...
 
 iterateCluster (_.Library.Integer k, _.Library.Integer i, _.Library.String id, coordinates)
 Iterates over all the data points assigned to a given cluster. More...
 
 printAll ()
 Convenience method. More...
 
 printCluster (_.Library.Integer k)
 Convenience method. More...
 
- Public Member Functions inherited from RegisteredObject
_.Library.Status OnAddToSaveSet (_.Library.Integer depth, _.Library.Integer insert, _.Library.Integer callcount)
 This callback method is invoked when the current object is added to the SaveSet,. More...
 
_.Library.Status OnClose ()
 This callback method is invoked by the <METHOD>Close</METHOD> method to. More...
 
_.Library.Status OnConstructClone (_.Library.RegisteredObject object, _.Library.Boolean deep, _.Library.String cloned)
 This callback method is invoked by the <METHOD>ConstructClone</METHOD> method to. More...
 
_.Library.Status OnNew ()
 This callback method is invoked by the <METHOD>New</METHOD> method to. More...
 
_.Library.Status OnValidateObject ()
 This callback method is invoked by the <METHOD>ValidateObject</METHOD> method to. More...
 
- Static Public Member Functions inherited from AbstractModel
_.Library.Status Delete (_.Library.String dataset)
 Deletes a model for a dataset with the name given by dataset argument.
 
_.Library.Boolean Exists (_.Library.String dataset)
 Checks whether a model for a dataset with the name given by dataset argument already exists.
 
- Static Public Attributes inherited from RegisteredObject
 CAPTION = None
 Optional name used by the Form Wizard for a class when generating forms. More...
 
 JAVATYPE = None
 The Java type to be used when exported.
 
 PROPERTYVALIDATION = None
 This parameter controls the default validation behavior for the object. More...
 

Detailed Description

This class provides an implemantation of Partitioning Around Medoids (PAM) algorithm adding Simulated Annealing (See Wikipedia article for more information) to avoid falling into a local minimum.

Member Data Documentation

◆ Extensive

Extensive