List of cluster() Examples

Examples of cluster()

cc.mallet.cluster.Clusterer.cluster()
Return a clustering of an InstanceList
cc.mallet.cluster.GreedyAgglomerativeByDensity.cluster()
co.paralleluniverse.galaxy.Grid.cluster()
Returns the grid's cluster management and node lifecycle service. @return The grid's cluster management and node lifecycle service.
com.dotcms.repackage.org.elasticsearch.client.AdminClient.cluster()
edu.cmu.sphinx.speakerid.SpeakerIdentification.cluster()
@param inputFileName The name of the file used for diarization @return A cluster for each speaker found in the input file
edu.gslis.ttg.clusters.clusterers.SimpleJaccardClusterer.cluster()
edu.ucla.sspace.clustering.Clustering.cluster()
Clusters the set of rows in the given {@code Matrix} without a specifiednumber of clusters (optional operation). The set of cluster assignments are returned for each row in the matrix. @param matrix the {@link Matrix} whose row data points are to beclustered @param props the properties to use for any parameters each clusteringalgorithm may need @return an array of {@link Assignment} instances that indicate zero ormore clusters to which each row belongs.
edu.ucla.sspace.graph.LinkClustering.cluster()
Computes the similarity of the graph's edges and merges them until the specified number of clusters has been reached. @param numClusters the number of clusters to return
net.kuujo.vertigo.network.NetworkContext.cluster()
Returns the address of the cluster to which the network belongs. @return The address of the cluster to which the network belongs.
org.apache.kafka.common.requests.MetadataResponse.cluster()
org.apache.mahout.clustering.dirichlet.DirichletClusterer.cluster()
Iterate over the sample data, obtaining cluster samples periodically and returning them. @param numIterations the int number of iterations to perform @return a List>> of the observed models
org.apache.mahout.clustering.streaming.cluster.BallKMeans.cluster()
Clusters the datapoints in the list doing either random seeding of the centroids or k-means++. @param datapoints the points to be clustered. @return an UpdatableSearcher with the resulting clusters.
org.apache.mahout.clustering.streaming.cluster.StreamingKMeans.cluster()
Cluster the rows of a matrix, treating them as Centroids with weight 1. @param data matrix whose rows are to be clustered. @return the UpdatableSearcher containing the resulting centroids.

Examples of cc.mallet.cluster.Clusterer.cluster()

                                                           new java.util.Random(1));


    // TEST
    Clustering testing = sampleClustering(alphabet);    
    InstanceList testList = testing.getInstances();
    Clustering predictedClusters = clusterer.cluster(testList);      


    // EVALUATE
    System.err.println("\n\nEvaluating System: " + clusterer);
    ClusteringEvaluators evaluators = new ClusteringEvaluators(new ClusteringEvaluator[]{
        new BCubedEvaluator(),

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Examples of cc.mallet.cluster.Clusterer.cluster()

          new ClusteringEvaluator[] { new BCubedEvaluator(),
              new PairF1Evaluator(), new MUCEvaluator(), new AccuracyEvaluator() });
    ArrayList<Clustering> predictions = new ArrayList<Clustering>();
    for (int i = 0; i < testing.size(); i++) {
      Clustering clustering = testing.get(i);
      Clustering predicted = clusterer.cluster(clustering.getInstances());
      predictions.add(predicted);
      logger.info(evaluator.evaluate(clustering, predicted));
    }
    logger.info(evaluator.evaluateTotals());

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Examples of cc.mallet.cluster.GreedyAgglomerativeByDensity.cluster()

                                                           new java.util.Random(1));


    // TEST
    Clustering testing = sampleClustering(alphabet);    
    InstanceList testList = testing.getInstances();
    Clustering predictedClusters = clusterer.cluster(testList);      


    // EVALUATE
    System.err.println("\n\nEvaluating System: " + clusterer);
    ClusteringEvaluators evaluators = new ClusteringEvaluators(new ClusteringEvaluator[]{
        new BCubedEvaluator(),

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Examples of co.paralleluniverse.galaxy.Grid.cluster()

                props.setProperty("galaxy.multicast.port", Integer.toString(7050));


                final Grid grid = Grid.getInstance(pathToResource(configpeerxml), props);
                grid.goOnline();
                final SettableFuture<Short> future = SettableFuture.create();
                grid.cluster().addNodeChangeListener(new NodeChangeListener() {
                    @Override
                    public void nodeAdded(short id) {
                        if (id > grid.cluster().getMyNodeId()) {
                            System.out.println("Larger peer added !!");
                            future.set(id);

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Examples of co.paralleluniverse.galaxy.Grid.cluster()

                grid.goOnline();
                final SettableFuture<Short> future = SettableFuture.create();
                grid.cluster().addNodeChangeListener(new NodeChangeListener() {
                    @Override
                    public void nodeAdded(short id) {
                        if (id > grid.cluster().getMyNodeId()) {
                            System.out.println("Larger peer added !!");
                            future.set(id);
                        }
                    }

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Examples of co.paralleluniverse.galaxy.Grid.cluster()


                    @Override
                    public void nodeRemoved(short id) {
                    }
                });
                for (Short node : grid.cluster().getNodes()) {
                    if (node > grid.cluster().getMyNodeId()) {
                        System.out.println("Larger peer have already up !!");
                        return node;
                    }
                }

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Examples of co.paralleluniverse.galaxy.Grid.cluster()

                    @Override
                    public void nodeRemoved(short id) {
                    }
                });
                for (Short node : grid.cluster().getNodes()) {
                    if (node > grid.cluster().getMyNodeId()) {
                        System.out.println("Larger peer have already up !!");
                        return node;
                    }
                }
                return future.get();

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Examples of com.dotcms.repackage.org.elasticsearch.client.AdminClient.cluster()

     */
    public Map<String,ClusterIndexHealth> getClusterHealth() {
        AdminClient client=new ESClient().getClient().admin();


        ClusterHealthRequest req = new ClusterHealthRequest();
        ActionFuture<ClusterHealthResponse> chr = client.cluster().health(req);


        ClusterHealthResponse res  = chr.actionGet();
        Map<String,ClusterIndexHealth> map  = res.getIndices();


        return map;

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Examples of com.dotcms.repackage.org.elasticsearch.client.AdminClient.cluster()

          jsonNode.put("error", e.getMessage());
          return responseResource.response( jsonNode.toString() );
        }


    ClusterHealthRequest clusterReq = new ClusterHealthRequest();
    ActionFuture<ClusterHealthResponse> afClusterRes = client.cluster().health(clusterReq);
    ClusterHealthResponse clusterRes = afClusterRes.actionGet();




    jsonNode.put("clusterName", clusterRes.getClusterName());
    jsonNode.put("numberOfNodes", clusterRes.getNumberOfNodes());

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Examples of edu.cmu.sphinx.speakerid.SpeakerIdentification.cluster()

    }


    public static void main(String[] args) throws Exception {
        SpeakerIdentification sd = new SpeakerIdentification();
        URL url = SpeakerIdentificationDemo.class.getResource("test.wav");
        ArrayList<SpeakerCluster> clusters = sd.cluster(url.openStream());


        printSpeakerIntervals(clusters, url.getPath());
        speakerAdaptiveDecoding(clusters, url);
    }
}

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