How to use
E
method
in
weka.clusterers.EM

Best Java code snippets using weka.clusterers.EM.E (Showing top 4 results out of 315)

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

return E(inst, true);

 tll = E(cvTest, false);
} catch (Exception ex) {

 tll = E(cvTest, false);
} catch (Exception ex) {

return E(inst, true);

The E step of the EM algorithm. Estimate cluster membership probabilities.

<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.
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
getCapabilities
Returns default capabilities of the clusterer (i.e., the ones of SimpleKMeans).

Making http post requests using okhttp
setContentView (Activity)
findViewById (Activity)
getSupportFragmentManager (FragmentActivity)
File (java.io)
An "abstract" representation of a file system entity identified by a pathname. The pathname may be a
InputStreamReader (java.io)
A class for turning a byte stream into a character stream. Data read from the source input stream is
ConcurrentHashMap (java.util.concurrent)
A plug-in replacement for JDK1.5 java.util.concurrent.ConcurrentHashMap. This version is based on or
Manifest (java.util.jar)
The Manifest class is used to obtain attribute information for a JarFile and its entries.
Project (org.apache.tools.ant)
Central representation of an Ant project. This class defines an Ant project with all of its targets,
IsNull (org.hamcrest.core)
Is the value null?
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