|
||||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
Class Summary | |
---|---|
ClusterMembershipFactory | This CellFactory produces appended cells: for each DataRow
the memberships to the cluster prototypes and the winner cluster in the last
column. |
FCMAlgorithm | The Fuzzy c-means algorithm. |
FCMAlgorithmMemory | The Fuzzy c-means algorithm. |
FCMQualityMeasures | Utility class to compute several cluster quality measures based on a Fuzzy c-means clustering. |
FuzzyClusterNodeDialog | Dialog for FuzzyClusterNodeModel - allows to adjust number of
clusters and other properties. |
FuzzyClusterNodeFactory | Create classes for fuzzy c-means Clustering NodeModel, NodeView and NodeDialogPane. |
FuzzyClusterNodeModel | Generate a fuzzy c-means clustering using a fixed number of cluster centers. |
FuzzyClusterNodeView | The FuzzyClusterNodeView provides the user with information about the quality of the clustering. |
The fuzzycmeans package contains all classes for the Fuzzy c-means node. The node has a dialog and a view. The ClusterMembershipFactory class produces the appended columns in a DataTable with the memberships and the winner prototype.
The FCMAlgorithm class is the implementation of the Fuzzy c.means algorithm itself. You can perform a clustering and obtain the cluster centers just by using this class alone.
The FCMAlgorithmMemory class does the Fuzzy c.means clustering in the memory instead of iterating over the DataTable.
|
||||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |