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java.lang.Objectorg.processmining.analysis.dws.Cluster
public class Cluster
Defines the data structures and the algorithms for the clustering.
Constructor Summary | |
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Cluster(LogReader log,
java.lang.String name,
int k,
double sigma,
double gamma,
int l,
int maxFeatures)
Constructor for the root of the hierarchy. |
Method Summary | |
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java.util.ArrayList |
getChildren()
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java.util.ArrayList |
getFeatures()
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HeuristicsNet |
getHeuristicsNet()
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LogReader |
getLog()
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java.lang.String |
getName()
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void |
mineClusters()
Implement the clustering procedure |
void |
mineFeatures()
Mines the features for the model and the log of the cluster. |
void |
setHeuristicsNet(HeuristicsNet en)
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java.lang.String |
toString()
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Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public Cluster(LogReader log, java.lang.String name, int k, double sigma, double gamma, int l, int maxFeatures)
log
- Log file.name
- Name of the cluster.k
- Number of clusters to be mined.sigma
- Threshold for the mining of the features.gamma
- Threshold for the mining of the features.l
- Maximum legth of each feature.maxFeatures
- Maximum number of features.Method Detail |
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public void mineClusters()
java.lang.Exception
public void mineFeatures()
public java.lang.String toString()
toString
in class java.lang.Object
public HeuristicsNet getHeuristicsNet()
public void setHeuristicsNet(HeuristicsNet en)
en
- The HeuristicsNet to associate with the cluster.public java.lang.String getName()
public LogReader getLog()
public java.util.ArrayList getFeatures()
public java.util.ArrayList getChildren()
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