How to use
getMinLogLikelihoodImprovementCV
method
in
weka.clusterers.EM

Best Java code snippets using weka.clusterers.EM.getMinLogLikelihoodImprovementCV (Showing top 2 results out of 315)

Common ways to obtain EM

private void myMethod () {
 EM e =new EM()
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}

result.add("" + getMaximumNumberOfClusters());
result.add("-ll-cv");
result.add("" + getMinLogLikelihoodImprovementCV());
result.add("-ll-iter");
result.add("" + getMinLogLikelihoodImprovementIterating());

result.add("" + getMaximumNumberOfClusters());
result.add("-ll-cv");
result.add("" + getMinLogLikelihoodImprovementCV());
result.add("-ll-iter");
result.add("" + getMinLogLikelihoodImprovementIterating());

Javadoc

Get the minimum improvement in cross-validated log likelihood required to consider increasing the number of clusters when cross-validating to find the best number of clusters

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

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How to use getMinLogLikelihoodImprovementCVmethodin weka.clusterers.EM

Best Java code snippets using weka.clusterers.EM.getMinLogLikelihoodImprovementCV (Showing top 2 results out of 315)

How to use
getMinLogLikelihoodImprovementCV
method
in
weka.clusterers.EM