Inheritance diagram for kddml.Core.DataMining.Clustering.ClusterManager:
Public Member Functions | |
int | getClusterId () |
String | getName () |
Integer | getSize () |
void | setSize (int num_elements) |
void | setCovariancesMatrix (CategoryMatrixManager matrix) |
CategoryMatrixManager | getCovariancesMatrix () |
ClusterStatisticManager | getClusterStatistic () |
abstract Object | getSeedAsInstance () throws ClusteringModelException |
abstract double[] | getSeedCoordinate () throws ClusteringModelException |
boolean | isDistributionBased () |
boolean | isCentroidBased () |
void | setClusterStatistic (ClusterStatisticManager statistics) |
Title: KDDML
Description: Knowledge Discovery in Database Environment
Copyright: Copyright (c) 2003-2005
Company: Universita' di Pisa - Dipartimento di Informatica
|
Returns the cluster id.
Implemented in kddml.Core.DataMining.Clustering.Cluster. |
|
Returns the name of the cluster designated by the clustering algorithm.
Implemented in kddml.Core.DataMining.Clustering.Cluster. |
|
Returns the number of cases in the portion of the training data assigned to the cluster during the model build. This is a non-negative value. It can be null.
Implemented in kddml.Core.DataMining.Clustering.Cluster. |
|
Sets the number of cases in the portion of the training data assigned to the cluster during the model build. This must be a non-negative value.
Implemented in kddml.Core.DataMining.Clustering.Cluster. |
|
Sets the covariance matrix.
Implemented in kddml.Core.DataMining.Clustering.Cluster. |
|
Returns the covariances matrix provided for this cluster. Returns null if no covariances matrix is avaible.
Implemented in kddml.Core.DataMining.Clustering.Cluster. |
|
Returns the cluster distribution. Can be null, for example for center-based clustering.
Implemented in kddml.Core.DataMining.Clustering.Cluster. |
|
Returns the representative cluster seed as instance. This depends on the type of clustering.
Implemented in kddml.Core.DataMining.Clustering.CentroidBasedCluster, and kddml.Core.DataMining.Clustering.DistributionBasedCluster. |
|
Returns the seed coordinate as array of normalized doubles in respect on the ClusterDescription fields.
Implemented in kddml.Core.DataMining.Clustering.CentroidBasedCluster, and kddml.Core.DataMining.Clustering.DistributionBasedCluster. |
|
Returns true if the clustering is distribution-based.
Implemented in kddml.Core.DataMining.Clustering.CentroidBasedCluster, and kddml.Core.DataMining.Clustering.DistributionBasedCluster. |
|
Returns true if the clustering is center-based.
Implemented in kddml.Core.DataMining.Clustering.CentroidBasedCluster, and kddml.Core.DataMining.Clustering.DistributionBasedCluster. |
|
Sets the cluster statistics. This field is optional for center-based clustering and it is required for distribution-based clustering.
Implemented in kddml.Core.DataMining.Clustering.Cluster. |