List of usage examples for javax.swing JApplet subclass-usage
From source file L2RTreeLayoutDemo.java
/**
* A variant of TreeLayoutDemo that rotates the view by 90 degrees from the
* default orientation.
* @author Tom Nelson
*
*/
From source file jung.test.TreeLayoutDemo.java
/** * Demonsrates TreeLayout and RadialTreeLayout. * @author Tom Nelson * */ @SuppressWarnings("serial")
From source file bigdata.explorer.nutch.grapview.tests.WebGraphTreeLayout.java
/** * Demonsrates TreeLayout and RadialTreeLayout. * @author Tom Nelson * */ @SuppressWarnings("serial")
From source file by.bsu.zmiecer.PieChartDemo1.java
/** * A simple demonstration application showing how to create a pie chart using * data from a {@link DefaultPieDataset}. */ public class PieChartDemo1 extends JApplet {
From source file jung.test.L2RTreeLayoutDemo.java
/**
* A variant of TreeLayoutDemo that rotates the view by 90 degrees from the
* default orientation.
* @author Tom Nelson
*
*/
From source file external.jung.demo.RoadEditorDemo.java
/**
* Shows how to create a graph editor with JUNG. Mouse modes and actions are
* explained in the help text. The application version of GraphEditorDemo
* provides a File menu with an option to save the visible graph as a jpeg file.
*
* @author Tom Nelson
From source file io.datalayer.jung.L2RTreeLayoutDemo.java
/**
* A variant of TreeLayoutDemo that rotates the view by 90 degrees from the
* default orientation.
* @author Tom Nelson
*
*/
From source file UNUSED.JUNGsamples.L2RTreeLayoutDemo.java
/**
* A variant of TreeLayoutDemo that rotates the view by 90 degrees from the
* default orientation.
* @author Tom Nelson
*
*/
From source file edu.uci.ics.jung.samples.L2RTreeLayoutDemo.java
/**
* A variant of TreeLayoutDemo that rotates the view by 90 degrees from the
* default orientation.
* @author Tom Nelson
*
*/
From source file edu.zju.cs.ooobgy.div1.ClusterPlatform.java
/**
* This simple app demonstrates how one can use our algorithms and visualization libraries in unison.
* In this case, we generate use the Zachary karate club data set, widely known in the social networks literature, then
* we cluster the vertices using an edge-betweenness clusterer, and finally we visualize the graph using
* Fruchtermain-Rheingold layout and provide a slider so that the user can adjust the clustering granularity.
* @author Scott White