de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d
Class ClusterMeanVisualization<NV extends NumberVector<NV,?>>
java.lang.Object
de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.P2DVisualization<NV>
de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusterMeanVisualization<NV>
- Type Parameters:
NV
- Type of the DatabaseObject being visualized.
- All Implemented Interfaces:
- ResultListener, ContextChangeListener, Visualization, EventListener
public class ClusterMeanVisualization<NV extends NumberVector<NV,?>>
- extends P2DVisualization<NV>
Visualize the mean of a KMeans-Clustering
Method Summary |
private void |
addCSSClasses(SVGPlot svgp)
Adds the required CSS-Classes |
protected void |
redraw()
Perform a full redraw. |
Methods inherited from class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization |
contextChanged, destroy, getHeight, getLayer, getWidth, incrementalRedraw, resultAdded, resultChanged, resultRemoved, synchronizedRedraw, testRedraw |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
NAME
private static final String NAME
- A short name characterizing this Visualizer.
- See Also:
- Constant Field Values
CSS_MEAN_CENTER
private static final String CSS_MEAN_CENTER
- CSS class name for center of the means
- See Also:
- Constant Field Values
CSS_MEAN
private static final String CSS_MEAN
- CSS class name for center of the means
- See Also:
- Constant Field Values
clustering
Clustering<MeanModel<NV extends NumberVector<NV,?>>> clustering
- Clustering to visualize.
ClusterMeanVisualization
public ClusterMeanVisualization(VisualizationTask task)
redraw
protected void redraw()
- Description copied from class:
AbstractVisualization
- Perform a full redraw.
- Specified by:
redraw
in class AbstractVisualization
addCSSClasses
private void addCSSClasses(SVGPlot svgp)
- Adds the required CSS-Classes
- Parameters:
svgp
- SVG-Plot