|
||||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
Class Summary | |
---|---|
AbstractPivotChooser | Abstract class for pivot selection algorithms hierarchy This class provides basic methods for selecting and accessing pivots and automatically registers statistic DistanceComputations.PivotChooser, i.e. number of distance computations spent in choosing pivots. |
ClusterPivotChooser | This pivot chooser selects a varying number of pivots based on cluster sizes which are limited by the parameter passed to the constructor. |
CoveragePivotChooser | This pivot chooser selects the pivots in a way that a good coverage of data by ball regions with centers in pivots and radius equal to a fixed value (threshold) is ensured. |
IncrementalIDistanceChooser | Chooses pivots according to a generalized iDistance clustering strategy. |
IncrementalPivotChooser | Incremental selection of pivots. |
KMeansPivotChooser | This class uses the k-means algorithm adapted for metric spaces to cluster the objects |
OnFlyRandomPivotChooser | OnFlyRandomPivotChooser provides the capability of selecting a random object from the whole bucket. |
OutlierPivotChooser | Selects pivots as outliers from the sample set. |
RandomPivotChooser | RandomPivotChooser provides the capability of selecting a random object from the whole bucket. |
StreamSequencePivotChooser | |
TwoDistantIncrementalPivotChooser | This class provides a privot chooser that selects maximally two pivots. |
Support for selection of representative objects (pivots).
|
||||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |