Example: Dendrogram
A Dendrogram.
import com.imsl.stat.*;
import com.imsl.chart.*;
public class DendrogramEx1 extends javax.swing.JApplet {
private JPanelChart panel;
public void init() {
Chart chart = new Chart(this);
panel = new JPanelChart(chart);
getContentPane().add(panel, java.awt.BorderLayout.CENTER);
setup(chart);
}
static private void setup(Chart chart) {
/*
1998 test data from 17 school districts in Los Angeles County.
The variables were:
lep - Proportion of LEP students to total tested
read - The Reading Scaled Score for 5th Grade
math - The Math Scaled Score for 5th Grade
lang - The Language Scaled Score for 5th Grade
The districts were:
lau - Los Angeles
ccu - Culver City
bhu - Beverly Hills
ing - Inglewood
com - Compton
smm - Santa Monica Malibu
bur - Burbank
gln - Glendale
pvu - Palos Verdes
sgu - San Gabriel
abc - Artesia, Bloomfield, and Carmenita
pas - Pasadena
lan - Lancaster
plm - Palmdale
tor - Torrance
dow - Downey
lbu - Long Beach
input lep read math lang str3 district
.38 626.5 601.3 605.3 lau
.18 654.0 647.1 641.8 ccu
.07 677.2 676.5 670.5 bhu
.09 639.9 640.3 636.0 ing
.19 614.7 617.3 606.2 com
.12 670.2 666.0 659.3 smm
.20 651.1 645.2 643.4 bur
.41 645.4 645.8 644.8 gln
.07 683.5 682.9 674.3 pvu
.39 648.6 647.8 643.1 sgu
.21 650.4 650.8 643.9 abc
.24 637.0 636.9 626.5 pas
.09 641.1 628.8 629.4 lan
.12 638.0 627.7 628.6 plm
.11 661.4 659.0 651.8 tor
.22 646.4 646.2 647.0 dow
.33 634.1 632.0 627.8 lbu
*/
double[][] data = {
{.38, 626.5, 601.3, 605.3},
{.18, 654.0, 647.1, 641.8},
{.07, 677.2, 676.5, 670.5},
{.09, 639.9, 640.3, 636.0},
{.19, 614.7, 617.3, 606.2},
{.12, 670.2, 666.0, 659.3},
{.20, 651.1, 645.2, 643.4},
{.41, 645.4, 645.8, 644.8},
{.07, 683.5, 682.9, 674.3},
{.39, 648.6, 647.8, 643.1},
{.21, 650.4, 650.8, 643.9},
{.24, 637.0, 636.9, 626.5},
{.09, 641.1, 628.8, 629.4},
{.12, 638.0, 627.7, 628.6},
{.11, 661.4, 659.0, 651.8},
{.22, 646.4, 646.2, 647.0},
{.33, 634.1, 632.0, 627.8}};
String[] lab = {"lau", "ccu", "bhu", "ing", "com", "smm",
"bur", "gln", "pvu", "sgu", "abc", "pas",
"lan", "plm", "tor", "dor", "lbu"};
// 3rd arg in Dissimilarities gives different results for 0,1,2
try {
Dissimilarities dist = new Dissimilarities(data, 0, 1, 1);
double[][] distanceMatrix = dist.getDistanceMatrix();
ClusterHierarchical clink = new ClusterHierarchical(
dist.getDistanceMatrix(),4,0);
int nClusters = 4;
int[] iclus = clink.getClusterMembership(nClusters);
int[] nclus = clink.getObsPerCluster(nClusters);
AxisXY axis = new AxisXY(chart);
// use either method below to create the chart
Dendrogram dc = new Dendrogram(axis, clink, Data.DENDROGRAM_TYPE_HORIZONTAL);
dc.setLabels(lab);
dc.setLineColor(new String[] {"Blue","Green", "Red", "Orange"});
} catch (com.imsl.IMSLException e) {
System.out.println(e.getStackTrace());
}
}
public static void main(String argv[]) {
JFrameChart frame = new JFrameChart();
DendrogramEx1.setup(frame.getChart());
frame.setVisible(true);
}
}
Output
Link to Java source.