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New interfaces for density based clustering

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This commit is contained in:
Marcel Kronfeld 2011-04-29 16:23:23 +00:00
parent 2293195be4
commit 87a6f444f7
3 changed files with 43 additions and 15 deletions
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32
src/eva2/server/go/operators/cluster/ClusteringDensityBased.java
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@ -17,7 +17,7 @@ import eva2.tools.Pair;
* Time: 15:17:53
* To change this template use Options | File Templates.
*/
public class ClusteringDensityBased implements InterfaceClustering, java.io.Serializable {
public class ClusteringDensityBased implements InterfaceClusteringDistanceParam, InterfaceClusteringMetricBased, java.io.Serializable {
private InterfaceDistanceMetric m_Metric = new PhenotypeMetric();
private double m_ClusterDistance = 0.1;
@ -105,7 +105,10 @@ public class ClusteringDensityBased implements InterfaceClustering, java.io.Seri
ConnectionMatrix[i][i] = true;
for (int j = i+1; j < pop.size(); j++) {
tmpIndy2 = (AbstractEAIndividual)pop.get(j);
if (this.m_Metric.distance(tmpIndy1, tmpIndy2) < this.m_ClusterDistance) {
if (tmpIndy1==null || (tmpIndy2==null)) {
System.err.println("Warning: Individual should not be null (ClusteringDensityBased)!");
}
if ((tmpIndy1!=null) && (tmpIndy2!=null) && (this.m_Metric.distance(tmpIndy1, tmpIndy2) < this.m_ClusterDistance)) {
ConnectionMatrix[i][j] = true;
ConnectionMatrix[j][i] = true;
} else {
@ -241,19 +244,7 @@ public class ClusteringDensityBased implements InterfaceClustering, java.io.Seri
public String metricTipText() {
return "Choose the distance metric to use.";
}
/** This method allows you to set/get the distance threshhold of the DBSCAN method.
* @return The currently used distance threshhold.
*/
public double getClusterDistance() {
return this.m_ClusterDistance;
}
public void setClusterDistance(double m){
if (m < 0) m = 0;
this.m_ClusterDistance = m;
}
public String clusterDistanceTipText() {
return "Set the distance threshhold for the DBSCAN method.";
}
/** This method allows you to set/get the minimal group size of the DBSCAN method.
* @return The currently used minimal group size.
*/
@ -272,6 +263,17 @@ public class ClusteringDensityBased implements InterfaceClustering, java.io.Seri
return null;
}
public double getClustDistParam() {
return this.m_ClusterDistance;
}
public void setClustDistParam(double m) {
if (m < 0) m = 0;
this.m_ClusterDistance = m;
}
public String clustDistTipText() {
return "Set the distance threshhold for the DBSCAN method.";
}
// /** For debuggy only
// * @param plot TopoPlot

12
src/eva2/server/go/operators/cluster/InterfaceClusteringDistanceParam.java Normal file
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@ -0,0 +1,12 @@
package eva2.server.go.operators.cluster;
/**
* A clustering method which has a cluster parameter - the niche radius for example.
*
* @author mkron
*
*/
public interface InterfaceClusteringDistanceParam extends InterfaceClustering {
public double getClustDistParam();
public void setClustDistParam(double param);
}

14
src/eva2/server/go/operators/cluster/InterfaceClusteringMetricBased.java Normal file
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@ -0,0 +1,14 @@
package eva2.server.go.operators.cluster;
import eva2.server.go.operators.distancemetric.InterfaceDistanceMetric;
/**
* A clustering method which is associated with a metric.
*
* @author mkron
*
*/
public interface InterfaceClusteringMetricBased {
public InterfaceDistanceMetric getMetric();
public void setMetric(InterfaceDistanceMetric m);
}