import com.imsl.stat.*; import com.imsl.chart.*; public class SampleDendrogram 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); //Dendrogram dc = new Dendrogram(axis, clink.getClusterLevel(), clink.getClusterLeftSons(), clink.getClusterRightSons(), 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(); SampleDendrogram.setup(frame.getChart()); frame.setVisible(true); } }