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EM.getSeed
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How to use
getSeed
method
in
weka.clusterers.EM

Best Java code snippets using weka.clusterers.EM.getSeed (Showing top 6 results out of 315)

origin: Waikato/weka-trunk

 System.out.println("Seed: " + getSeed());
m_rr = new Random(getSeed());
 if (m_theInstances.numInstances() > 9) {
  CVClusters();
  m_rr = new Random(getSeed());
  for (int i = 0; i < 10; i++) {
   m_rr.nextDouble();
origin: nz.ac.waikato.cms.weka/weka-stable

 System.out.println("Seed: " + getSeed());
m_rr = new Random(getSeed());
 if (m_theInstances.numInstances() > 9) {
  CVClusters();
  m_rr = new Random(getSeed());
  for (int i = 0; i < 10; i++) {
   m_rr.nextDouble();
origin: nz.ac.waikato.cms.weka/weka-stable

int seed = getSeed();
int restartCount = 0;
CLUSTER_SEARCH: while (CVincreased) {
 cvr = new Random(getSeed());
 trainCopy = new Instances(m_theInstances);
 trainCopy.randomize(cvr);
  seed = getSeed();
  templl /= numFolds;
origin: nz.ac.waikato.cms.weka/weka-stable

int seed = getSeed();
int restartCount = 0;
m_iterationsPerformed = -1;
origin: Waikato/weka-trunk

int seed = getSeed();
int restartCount = 0;
CLUSTER_SEARCH: while (CVincreased) {
 cvr = new Random(getSeed());
 trainCopy = new Instances(m_theInstances);
 trainCopy.randomize(cvr);
  seed = getSeed();
  templl /= numFolds;
origin: Waikato/weka-trunk

int seed = getSeed();
int restartCount = 0;
m_iterationsPerformed = -1;
weka.clusterersEMgetSeed

Popular methods of EM

  • <init>
    Constructor.
  • setNumClusters
    Set the number of clusters (-1 to select by CV).
  • CVClusters
    estimate the number of clusters by cross validation on the training data.
  • E
    The E step of the EM algorithm. Estimate cluster membership probabilities.
  • EM_Init
    Initialize the global aggregated estimators and storage.
  • EM_Report
    verbose output for debugging
  • M
    The M step of the EM algorithm.
  • M_reEstimate
  • buildClusterer
    Generates a clusterer. Has to initialize all fields of the clusterer that are not being set via opti
  • distributionForInstance
  • doEM
    Perform the EM algorithm
  • estimate_priors
    calculate prior probabilites for the clusters
  • doEM,
  • estimate_priors,
  • getCapabilities,
  • getMaximumNumberOfClusters,
  • getMinLogLikelihoodImprovementCV,
  • getMinLogLikelihoodImprovementIterating,
  • getMinStdDev,
  • getNumClusters,
  • getNumExecutionSlots,
  • getNumFolds

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