com.rapidminer.operator.clustering
Class FlatFuzzyClusterModel
java.lang.Object
com.rapidminer.operator.AbstractIOObject
com.rapidminer.operator.ResultObjectAdapter
com.rapidminer.operator.clustering.ClusterModel
com.rapidminer.operator.clustering.FlatFuzzyClusterModel
- All Implemented Interfaces:
- IOObject, ResultObject, Saveable, LoggingHandler, java.io.Serializable
public class FlatFuzzyClusterModel
- extends ClusterModel
This class represents a stadard implementation of a flat, fuzzy clustering.
- Author:
- Regina Fritsch
- See Also:
- Serialized Form
| Methods inherited from class com.rapidminer.operator.ResultObjectAdapter |
addAction, getActions, getResultIcon, getVisualizationComponent, isSavable, log, logError, logNote, logWarning, save, toHTML, toResultString |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
FlatFuzzyClusterModel
public FlatFuzzyClusterModel(int k)
getExampleInClusterProbability
public double getExampleInClusterProbability(int example,
int cluster)
setExampleInClusterProbability
public void setExampleInClusterProbability(double[][] exampleInClusterProbability)
getClusterMean
public double[] getClusterMean(int cluster)
setClusterMean
public void setClusterMean(int cluster,
double[] value)
getClusterProbability
public double getClusterProbability(int cluster)
setClusterProbability
public void setClusterProbability(int cluster,
double value)
getClusterStandardDeviation
public double getClusterStandardDeviation(int cluster)
setClusterStandardDeviation
public void setClusterStandardDeviation(int cluster,
double value)
clearClusterStandardDeviations
public void clearClusterStandardDeviations()
getClusterCovarianceMatrix
public double[][] getClusterCovarianceMatrix(int cluster)
setClusterCovarianceMatrix
public void setClusterCovarianceMatrix(int cluster,
double[][] matrix)
toString
public java.lang.String toString()
- Overrides:
toString in class ClusterModel
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