How to use
M
method
in
weka.clusterers.EM

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

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

M(inst);
return;

M(inst);
return;

The M step of the EM algorithm.

<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_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).

Updating database using SQL prepared statement
setRequestProperty (URLConnection)
getExternalFilesDir (Context)
setContentView (Activity)
Kernel (java.awt.image)
FileNotFoundException (java.io)
Thrown when a file specified by a program cannot be found.
String (java.lang)
Connection (java.sql)
A connection represents a link from a Java application to a database. All SQL statements and results
Format (java.text)
The base class for all formats. This is an abstract base class which specifies the protocol for clas
TimeZone (java.util)
TimeZone represents a time zone offset, and also figures out daylight savings. Typically, you get a