Example usage for Java weka.clusterers ClusterEvaluation fields, constructors, methods, implement or subclass
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| ClusterEvaluation() Constructor. |
| String | clusterResultsToString() return the results of clustering. |
| double | crossValidateModel(DensityBasedClusterer clusterer, Instances data, int numFolds, Random random) Perform a cross-validation for DensityBasedClusterer on a set of instances. |
| void | evaluateClusterer(Instances test) Evaluate the clusterer on a set of instances. |
| void | evaluateClusterer(Instances test, String testFileName, boolean outputModel) Evaluate the clusterer on a set of instances. |
| void | evaluateClusterer(Instances test, String testFileName) Evaluate the clusterer on a set of instances. |
| String | evaluateClusterer(Clusterer clusterer, String[] options) Evaluates a clusterer with the options given in an array of strings. |
| int[] | getClassesToClusters() Return the array (ordered by cluster number) of minimum error class to cluster mappings |
| double[] | getClusterAssignments() Return an array of cluster assignments corresponding to the most recent set of instances clustered. |
| double | getLogLikelihood() Return the log likelihood corresponding to the most recent set of instances clustered. |
| int | getNumClusters() Return the number of clusters found for the most recent call to evaluateClusterer |
| void | mapClasses(int numClusters, int lev, int[][] counts, int[] clusterTotals, double[] current, double[] best, int error) Finds the minimum error mapping of classes to clusters. |
| void | setClusterer(Clusterer clusterer) set the clusterer |